Home
Search results “Janganana 2011 data mining”
28c3: Data Mining the Israeli Census
 
26:03
Download high quality version: http://bit.ly/vDnQu4 Description: http://events.ccc.de/congress/2011/Fahrplan/events/4652.en.html Yuval Adam: Data Mining the Israeli Census Insights into a publicly available registry The entire Israeli civil registry database has been leaked to the internet several times over the past decade. In this talk, we examine interesting data that can be mined and extracted from such database. Additionally, we will review the implications of such data being publicly available in light of the upcoming biometric database. The Israeli census database has been freely available on the Internet since 2001. The database has been illegally leaked due to incompetent data security policies in the Ministry of Interior of Israel, which is responsible for the management of the Israeli census. The data available includes all personal data of every Israeli citizen: name, ID number, date and location of birth, address, phone number and marital status, as well as linkage to parents and spouses. In this talk we discuss various statistics, trends and anomalies that such data provides us with insight to. Personal details will obviously be left out of the talk, though it is important to note that any person who wishes to retrieve such details can easily do so. We will end the talk with a discussion about upcoming and relevant privacy issues in light of Israel's soon-to-be biometric database.
Views: 2607 28c3
Tonight - Canada Census Data Mining with guest Art Lowe
 
01:26:23
Tonight - Canada Census Data Mining with guest Art Lowe, Libertarian
28c3: Datamining for Hackers
 
54:47
Download high quality version: http://bit.ly/rBS7SW Description: http://events.ccc.de/congress/2011/Fahrplan/events/4732.en.html Stefan Burschka: Datamining for Hackers Encrypted Traffic Mining This talk presents Traffic Mining (TM) particularly in regard to VoiP applications such as Skype. TM is a method to digest and understand large quantities of data. Voice over IP (VoIP) has experienced a tremendous growth over the last few years and is now widely used among the population and for business purposes. The security of such VoIP systems is often assumed, creating a false sense of privacy. Stefan will present research into leakage of information from Skype, a widely used and protected VoIP application. Experiments have shown that isolated phonemes can be classified and given sentences identified. By using the dynamic time warping (DTW) algorithm, frequently used in speech processing, an accuracy of 60% can be reached. The results can be further improved by choosing specific training data and reach an accuracy of 83% under specific conditions
Views: 7967 28c3
Modeling Forest Fire Occurence in Riau Province, Indonesia using Data Mining Method
 
01:05:26
Ms. Imas Sukaeshi Sitanggang Lecturer, Faculty of Natural Science and Mathematics, Bogor Agricultural University, Indonesia
Views: 196 SEAMEO SEARCA
Data Mining Gig On Fiverr.com
 
00:40
Check out this gig on Fiverr.com http://fiverr.com/users/getmethisdata/gigs/extract-data-from-any-web-site-up-to-15-pages-and-output-it-to-any-data-format-you-want
Views: 304 getmethisdata
28c3 - Data Mining the Israeli Census
 
26:03
This video is part of the Infosec Video Collection at SecurityTube.net: http://www.securitytube.net 28c3 - Data Mining the Israeli Census http://events.ccc.de/congress/2011/Fahrplan/attachments/2010_28c3-dmic.pdf Data Mining the Israeli Census Insights into a publicly available registry The entire Israeli civil registry database has been leaked to the internet several times over the past decade. In this talk, we examine interesting data that can be mined and extracted from such database. Additionally, we will review the implications of such data being publicly available in light of the upcoming biometric database. The Israeli census database has been freely available on the Internet since 2001. The database has been illegally leaked due to incompetent data security policies in the Ministry of Interior of Israel, which is responsible for the management of the Israeli census. The data available includes all personal data of every Israeli citizen: name, ID number, date and location of birth, address, phone number and marital status, as well as linkage to parents and spouses. In this talk we discuss various statistics, trends and anomalies that such data provides us with insight to. Personal details will obviously be left out of the talk, though it is important to note that any person who wishes to retrieve such details can easily do so. We will end the talk with a discussion about upcoming and relevant privacy issues in light of Israel's soon-to-be biometric database.
Views: 90 SecurityTubeCons
Introduction to Genetic Algorithms
 
02:57
A brief introduction to genetic algorithms with examples.
Views: 128942 chriskam1250
2011-01-28 :: Data Mining :: Part 1
 
12:44
Webinar about Data Mining
Views: 252 lrrcenter
28C3: Data Mining the Israeli Census (en)
 
26:03
For more information visit: http://bit.ly/28C3_information To download the video visit: http://bit.ly/28C3_videos Playlist 28C3: http://bit.ly/28C3_playlist Speaker: Yuval Adam Insights into a publicly available registry The entire Israeli civil registry database has been leaked to the internet several times over the past decade. In this talk, we examine interesting data that can be mined and extracted from such database. Additionally, we will review the implications of such data being publicly available in light of the upcoming biometric database. The Israeli census database has been freely available on the Internet since 2001. The database has been illegally leaked due to incompetent data security policies in the Ministry of Interior of Israel, which is responsible for the management of the Israeli census. The data available includes all personal data of every Israeli citizen: name, ID number, date and location of birth, address, phone number and marital status, as well as linkage to parents and spouses. In this talk we discuss various statistics, trends and anomalies that such data provides us with insight to. Personal details will obviously be left out of the talk, though it is important to note that any person who wishes to retrieve such details can easily do so. We will end the talk with a discussion about upcoming and relevant privacy issues in light of Israel's soon-to-be biometric database.
Views: 245 Christiaan008
DEFCON 17: Dangerous Minds: The Art of Guerrilla Data Mining
 
40:31
Speaker: Mark Ryan Del Moral Talabis Senior Consultant, Secure-DNA Consulting It is not a secret that in today's world, information is as valuable or maybe even more valuable that any security tool that we have out there. Information is the key. That is why the US Information Awareness Office's (IAO) motto is "scientia est potential", which means "knowledge is power". The IAO just like the CIA, FBI and others make information their business. Aside from these there are multiple military related projects like TALON,ECHELON, ADVISE, and MATRIX that are concerned with information gathering and analysis. The goal of the Veritas Project is to model itself in the same general threat intelligence premise as the organization above but primarily based on community sharing approach and using tools, technologies, and techniques that are freely available. Often, concepts that are part of artificial intelligence, data mining, and text mining are thought to be highly complex and difficult. Don't mistake me, these concepts are indeed difficult, but there are tools out there that would facilitate the use of these techniques without having to learn all the concepts and math behind these topics. And as sir Isaac Newton once said, "If I have seen further it is by standing on the shoulders of giants". The combination of all the techniques presented in this site is what we call "Guerrilla Data Mining". It's supposed to be fast, easy, and accessible to anyone. The techniques provides more emphasis on practicality than theory. For example, these tools and techniques presented can be used to visualize trends (e.g. security trends over time), summarize large and diverse data sets (forums, blogs, irc), find commonalities (e.g. profiles of computer criminals) gather a high level understanding of a topic (e.g. the US economy, military activities), and automatically categorize different topics to assist research (e.g. malware taxonomy). Aside from the framework and techniques themselves, the Veritas Project hopes to present a number of current ongoing studies that uses "guerilla data mining". Ultimately, our goal is to provide as much information in how each study was done so other people can generate their own studies and share them through the project. The following studies are currently available and will be presented: For more information visit: http://bit.ly/defcon17_information To download the video visit: http://bit.ly/defcon17_videos
Views: 3917 Christiaan008
Scott Wilson teaches MBA Students about Data Mining
 
03:22
Rank higher CEO, Scott Wilson teaches students from the McMaster University DeGroote School of Business about how to Data mine using Google's keyword tool external.
Views: 473 RankHigher.ca
Tottenkoph -- Data Mining for (Neuro) hackers
 
49:41
All videos at: http://www.irongeek.com/i.php?page=videos/derbycon1/mainlist
Views: 1171 Adrian Crenshaw
Introduction to Data Mining: Missing & Duplicated Data
 
03:55
In this Data Mining Fundamentals tutorial, we discuss missing values and duplicated data. Missing values can occur because information is not collected, or attributes are not applicable to all cases. We will tell you several ways to handle your missing values, as well as solutions for dealing with duplicate data, which can be a major issue when merging data from heterogeneous sources. -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 3600+ employees from over 742 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: https://hubs.ly/H0f8M3Z0 See what our past attendees are saying here: https://hubs.ly/H0f8M400 -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/datasciencedojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo Vimeo: https://vimeo.com/datasciencedojo
Views: 5210 Data Science Dojo
re:publica 2012 - Eben Moglen - Freedom of Thought Requires Free Media
 
01:03:42
Media that spy on and data-mine the public are capable of destroying humanity's most precious freedom: freedom of thought. Ensuring that media remain structured to support rather than suppress individual freedom and civic virtue requires us to achieve specific free technology and free culture goals. Our existing achievements in these directions are under assault from companies trying to bottleneck human communications or own our common culture, and states eager to control their subjects' minds. In this talk--one of a series beginning with "The dotCommunist Manifesto" and "Die Gedanken Sind Frei"--I offer some suggestions about how the Free World should meet the challenges of the next decade. Find out more about re:publica: http://re-publica.de
Views: 40169 re:publica
Lecture - 34 Data Mining and Knowledge Discovery
 
54:46
Lecture Series on Database Management System by Dr. S. Srinath,IIIT Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 134228 nptelhrd
Mining Demographic Data to Uncover Customers
 
03:57
As the saying goes, "You can't manage what you can't measure." That's why I found USDA's recently released data on rural population and migration so interesting. The most recent survey indicates our rural lifestyle segment is showing a declining population. Here are a few highlights from the report. http://www.rurallifestyledealer.com/pages/Spre/From-the-Desk-of-Lynn-Woolf-Mining-Demographic-Data-to-Uncover-Customers-April-22,-2014.php
secc data 2011 में अपना नाम देखें ऐसे !
 
04:04
secc data 2011 में अपना नाम देखने के लिए यहाँ क्लिक करें - http://mnregaweb2.nic.in/netnrega/secc_list.aspx for more details visit my https://www.youtube.com/c/TECHDIGITALS other Link... किसान ऋण माफ़ी योजना की सूची में अपना नाम या स्थिति देखने के लिए इस लिंक पर क्लिक करें .... https://youtu.be/ashqvkMz2o0 How to Recover Deleted Files by Antivirus,एंटीवायरस द्वारा डेलेट फाइलों को कैसे वापस लायें https://youtu.be/RhX44q6OrL0 How to fix a write protected problem in a pen drive or memory card पेन ड्राइव या मेमोरी कार्ड में write protected समस्या को कैसे ठीक करें https://youtu.be/oxU2nOY1Vxw How to see the work plan of your village panchayat अपनी ग्राम पंचायत की कार्ययोजना कैसे देखें https://youtu.be/8ut1x8Xe_oI How to make amendments/correction to your voter ID card अपने वोटर आई डी कार्ड में संशोधन करने के लिए इस लिंक पर क्लिक करें https://youtu.be/VCLAVUJINXw How to know the owner of the vehicle from the registration of any vehicle किसी भी वाहन के रजिस्टेशन से वाहन के मालिक की जानकारी कैसे करें https://youtu.be/gvENNvVTgxc How to see your village's toilet list अपने गांव की शौचालय सूची कैसे देखें https://youtu.be/T3fYwxjEUCw HOW TO SEE PMAY LIST अपनी ग्राम पंचायत की प्रधानमंत्री आवास योजना की लिस्ट कैसे देखें ! https://youtu.be/LtzHe_zc-NM how to link aadhar with pan card https://youtu.be/MpSOBxkFglo Rakshabandhan Special रक्षाबंधन स्पेशल https://youtu.be/xcnlQ0PtabQ how to check pan card active or deactive status https://youtu.be/WLmQa97ti8U How to know your sim card is registered in the name of https://youtu.be/6-c7ChQlfSY how to lock or unlock aadhar biometric data आधार बायोमेट्रिक डाटा को लॉक या अनलॉक करें https://youtu.be/OO10Q1U1atM happy independence day https://youtu.be/JLvAsxmoukE HOW TO CHECK AADHAR AND BANK ACCOUNT LINKING STATUS आधार एवं बैंक खाता लिंकिंग स्टेटस देखें https://youtu.be/w7b04QUcWvk Tech Digitals provides basic and advanced level computer, internet, technology related education for free, you can ask question about your problems, request for a video, I and Our team response quickly and you can also resolve others problem on my channel by sharing your knowledge or experience on discussion page.. इस तरह के और भी टिप्स के लिए आप हमारे फेसबुक पेज को Like कर सकते हैं, और YouTube चैनल को Subscribe कर सकते हैं ►फेसबुक पेज : https://www.facebook.com/techdigitals.td/ ►YouTube चैनल :https://www.youtube.com/c/TECHDIGITALS For More Interesting updates like Facebook Page And Subscribe My Channel on YouTube Or Visit Official #Tech Digitals Website ►Facebook Page : https://www.facebook.com/techdigitals.td/ ►YouTube Channel :https://www.youtube.com/c/TECHDIGITALS • Category • License o Standard YouTube License
Views: 15781 TECH DIGITALS
Basic Data Mining - Lesson 2
 
05:07
Building a Targeted Mailing Structure (Basic Data Mining Tutorial)
Views: 45 Anh Lee
Normal Distribution - Explained Simply (part 1)
 
05:04
*** Check-out the improved version of this video here: https://youtu.be/tDLcBrLzBos I describe the standard normal distribution and its properties with respect to the percentage of observations within each standard deviation. I also make reference to two key statistical demarcation points (i.e., 1.96 and 2.58) and their relationship to the normal distribution. Finally, I mention two tests that can be used to test normal distributions for statistical significance. normal distribution, normal probability distribution, standard normal distribution, normal distribution curve, bell shaped curve
Views: 1050974 how2stats
Statistics South Africa continues to breakdown the Census 2011 data
 
06:51
This data is expected to help councillors, city planners, policymakers, advocacy groups and ordinary South Africans to create better understanding of their communities. With us is Pali Lehohla, the SA Statistian General, good morning...
Views: 576 SABC Digital News
28c3 -  Datamining for Hackers
 
54:47
This video is part of the Infosec Video Collection at SecurityTube.net: http://www.securitytube.net 28c3 - Datamining for Hackers http://events.ccc.de/congress/2011/Fahrplan/attachments/1985_CCC.pptx This talk presents Traffic Mining (TM) particularly in regard to VoiP applications such as Skype. TM is a method to digest and understand large quantities of data. Voice over IP (VoIP) has experienced a tremendous growth over the last few years and is now widely used among the population and for business purposes. The security of such VoIP systems is often assumed, creating a false sense of privacy. Stefan will present research into leakage of information from Skype, a widely used and protected VoIP application. Experiments have shown that isolated phonemes can be classified and given sentences identified. By using the dynamic time warping (DTW) algorithm, frequently used in speech processing, an accuracy of 60% can be reached. The results can be further improved by choosing specific training data and reach an accuracy of 83% under specific conditions
Views: 198 SecurityTubeCons
Data Mining with Weka (1.1: Introduction)
 
09:00
Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 1: Introduction http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/IGzlrn https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 123591 WekaMOOC
Data Mining to Improve Direct-Mail Campaigns
 
01:30
Mass Marketing Manager Tim Troutman discusses how the Charlotte Rescue Mission in North Carolina uses the statistical algorithms in JMP Pro software to reach the right donor with the right offer. Hitting the right targets is critical, and JMP software has played a big role in helping hone the rescue mission's accuracy. Troutman believes that JMP Pro offers a new software option for people who need automated techniques for data mining and predictive modeling. "I can do a lot of things with the click of a button that used to take me a couple of hours to write the script for. The new tools in JMP Pro are great," he says. http://www.jmp.com/software/success/charlotte_rescue.shtml
Views: 250 JMPSoftwareFromSAS
Statistics intro: Mean, median, and mode | Data and statistics | 6th grade | Khan Academy
 
08:54
This is a fantastic intro to the basics of statistics. Our focus here is to help you understand the core concepts of arithmetic mean, median, and mode. Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/mean-and-median/e/calculating-the-mean?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Watch the next lesson: https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/mean-and-median/v/mean-median-and-mode?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Missed the previous lesson? https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/histograms/v/interpreting-histograms?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Grade 6th on Khan Academy: By the 6th grade, you're becoming a sophisticated mathemagician. You'll be able to add, subtract, multiply, and divide any non-negative numbers (including decimals and fractions) that any grumpy ogre throws at you. Mind-blowing ideas like exponents (you saw these briefly in the 5th grade), ratios, percents, negative numbers, and variable expressions will start being in your comfort zone. Most importantly, the algebraic side of mathematics is a whole new kind of fun! And if that is not enough, we are going to continue with our understanding of ideas like the coordinate plane (from 5th grade) and area while beginning to derive meaning from data! (Content was selected for this grade level based on a typical curriculum in the United States.) About Khan Academy: Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. We believe learners of all ages should have unlimited access to free educational content they can master at their own pace. We use intelligent software, deep data analytics and intuitive user interfaces to help students and teachers around the world. Our resources cover preschool through early college education, including math, biology, chemistry, physics, economics, finance, history, grammar and more. We offer free personalized SAT test prep in partnership with the test developer, the College Board. Khan Academy has been translated into dozens of languages, and 100 million people use our platform worldwide every year. For more information, visit www.khanacademy.org, join us on Facebook or follow us on Twitter at @khanacademy. And remember, you can learn anything. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to Khan Academy‰Ûªs 6th grade channel: https://www.youtube.com/channel/UCnif494Ay2S-PuYlDVrOwYQ?sub_confirmation=1 Subscribe to Khan Academy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 1885251 Khan Academy
MBA 738 Data Mining for Business Intelligence | George Mason University MBA
 
02:57
Dr. Pallab Sanyal gives an overview MBA 738 Data Mining for Business Intelligence, an elective course in George Mason University's MBA program. George Mason MBA students have 15 credits of electives to choose courses that fit their interests and career goals. The Mason MBA currently offers the following areas of emphasis: •Accounting •Entrepreneurship •Financial Management •Information Systems Management •International Business •Leadership •Marketing •Project Management •Real Estate Learn more about areas of specialization at http://business.gmu.edu/mba-programs/curriculum/areas-emphasis/. Review all available courses and descriptions at http://business.gmu.edu/mba-programs/curriculum/courses-syllabi/.
Views: 1658 GeorgeMasonBusiness
PowerBI and Census Mining Part One
 
15:15
Using PowerBI, PowerQuery US Census Data and DnB Cleanse Match to produce a contact list - part one of three
Views: 681 Lynn Langit
Mod-01 Lec-38 Genetic Algorithms
 
54:52
Design and Optimization of Energy Systems by Prof. C. Balaji , Department of Mechanical Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 153066 nptelhrd
War on Data
 
26:39
It's been called the "war on data": the cancellation of the long-form census, records tossed in dumpsters, the shuttering of government libraries, and cuts to environmental organizations. This has led to what some see as a country that increasingly doesn't know itself. From understanding how many Canadians live in poverty to the state of our lakes, oceans, and polar ice, The Agenda convenes a panel to discuss what has happened to Canada's data.
Representational similarity analysis of visual-object population codes
 
57:04
A presentation given at Dartmouth College by Nikolaus Kriegeskorte (Cambridge CBU)
Views: 2518 Dartmouth
Advanced Statistics and Data Mining for Data Science: The Course Overview | packtpub.com
 
03:13
This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2Ijljbd]. This video will give you an overview about the course. For the latest Big Data and Business Intelligence tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 134 Packt Video
Screw The Census
 
04:40
*****please rate and subscribe******* The 2010 Census is a total waste of money and just propaganda. The Census is just data mining for big brother. The Census didnt help Katrina Victims and most of what the government says the Census is for Private industry already does for a fraction of the cost!
Views: 824 Louie B.
Data from websites: cleansing dirty data
 
04:58
Visit this link for more information https://community.qlik.com/docs/DOC-7364 Download the data here: http://www.fhwa.dot.gov/policyinformation/statistics/2011/mv1.cfm
Views: 13140 Qlik
Statistics - How to make a histogram
 
03:07
This example shows how to make a histogram. Remember that the horizontal axis represents the values of the variables. The vertical axis gives us the frequency of those variables. For more videos visit http://www.mysecretmathtutor.com
Views: 675746 MySecretMathTutor
GEOBIA2012 - Combining object-based image analysis and data mining for carbon...
 
12:24
GEOBIA2012 - Rio de Janeiro, Brazil Combining object-based image analysis and data mining for carbon assessment in floodplains L. O. Suchenwirth (a), P. Gärtner (a), M. Förster (a), B. Kleinschmit (a) (a) TU Berlin, Institute of Landscape Architecture and Environmental Planning, department of Geoinformation in Environmental Planning, Germany http://www.inpe.br/geobia2012/
Views: 221 GEOBIAinRIO
2016 Census of Agriculture benefits farmers
 
01:44
The Census of Agriculture provides crucial data that decision makers will use to ensure they are acting in the interests of farm operators, farm communities and agricultural operations across Canada. Be part of the dialogue – complete your questionnaire online in May! www.census.gc.ca Transcript: http://www.statcan.gc.ca/eng/sc/video/census2016_benefits_farmers Description of visuals: (A collage of many farm types: corn fields, greenhouse, pigs, cows. It transitions to being seen on a computer screen.) The farm industry is a modern, complex and growing part of the Canadian economy. We need reliable information to make informed decisions on the future of the Canadian agricultural sector. (We cut to a young woman sitting at a table watching this on her computer. She looks up when the door opens. A man walks in and comes to the table and sits down. He pours himself a cup of coffee and sips it.) Nadine: "How are you doing, Dave?" Dave: "Exhausted but good." (Dave sits down across from Nadine.) Dave: "What are you doing?" Nadine: "I'm completing my census questionnaire." Dave: "The census - they always send that out around seeding. I'm just too busy." Nadine: "No no, I'm completing it online. Way faster this time." Dave: "What?" Nadine: "Well, I just received my letter and it gives me a secure access code to complete the census online." Dave: "Where's the questionnaire?" Nadine: "Oh they're not sending the paper questionnaire out with the letter this year. Just the online access code. It's way easier." Dave: "Easier for you." Nadine: "No, really. If you want the paper questionnaire, you can request it, whereas this is right in front of you. It adds up all the numbers for you, and automatically skips parts that aren't relevant to your operation." (The woman completes her work on the computer and shows it to the man, who stands up to look at it.) Nadine: "And there. I'm done. See? Didn't take nearly as long as it used to." Dave: "Well, aren't you smart." Nadine: "That's what I've been telling you." (The man looks at his phone. The man and woman both laugh. The picture blurs.) Dave: "Hey, Ted's tweeting that he just completed the census." Nadine: "Ted - always bragging (laughs)." Nadine: "Ooh I know, I'll reply that I already did mine. That's going to drive him nuts (both laugh)." (We see the url www.census.gc.ca.) Watch for your Census of Agriculture letter in the mail this May. Save time and complete it online at www.census.gc.ca. (The website address fades to black, and the Canada wordmark fades in.)
Views: 2312 Statistics Canada
Big Data Intro - GlobalPulse - GAbriefing2011
 
16:53
On 8 November 2011, the United Nations General Assembly was briefed on the progress of Global Pulse, an innovation initiative of the Secretary-General. The briefing began with an introduction by Andreas Weigend, former Chief Data Scientist for Amazon.com and Peter Hirshberg, former head of Enterprise Marketing for Apple, Inc., who offer a range of examples and visualizations of how Real-Time, or Big Data, can augment and improve decision making in the 21st century. For more information visit: unglobalpulse.org un.org/apps/news/story.asp?NewsID=40334
Views: 1782 UN Global Pulse
CFA Level I Sampling and Estimation Video Lecture by Mr. Arif Irfanullah
 
38:04
This CFA Level I video covers concepts related to: • Sampling • Simple Random Sampling • Sampling Error • Sampling Distribution • Stratified Random Sampling • Time Series and Cross Sectional Data • Central Limit Theorem • Standard Error of the Sample Mean • Point Estimates • Properties of an Estimator • Confidence Interval • Construct the Confidence Interval • Normal Distributions Reliability Factors • Students t-Distribution • Properties of t-Distribution • Data Mining and Other Baises For more updated CFA videos, Please visit www.arifirfanullah.com.
Views: 21294 IFT
NSA data mining program probably unconstitutional, judge says
 
01:39
Ever since the USA PATRIOT Act gave the federal government broad powers to snoop on its own citizens, attempts to curtail domestic spying have gotten nowhere. We always kinda suspected the government would do some spying on the average citizen in the name of protecting the peace after 9/11, but thanks to Edward Snowden, the extent to which the NSA has gone to cast its peepers into everything we do is at Orwellian levels. And while they chipped away at our privacy, they apparently broke a few off for the justice system, too. Any type of legal actions brought about to curtail their powers has been litigated out of existence, put on hold without a trial date, or propped up by an outdated court precedent — namely Smith vs Maryland (1979) — that has nothing to do with the internet age. Today, however, Judge Richard J. Leon ruled in a civil lawsuit brought by Larry Klayman that the NSA program of spying indiscriminately by using telephone metadata "is likely unconstitutional." He placed a temporary injunction on the practice until a final ruling can be determined. This is important because it marks the first time a sitting judge has gone against the precedent set forth in Smith vs Maryland which says it's OK for entities to use telephone billing equipment in a phone company's central offices to record the numbers and call lengths that a person calls without their knowledge, thereby circumventing the Fourth Amendment and the need to obtain a search warrant beforehand. In this age of smartphones and constant connections to the internet and such, this meant the NSA could potentially hide behind Smith vs Maryland and use your internet service provider's equipment in their offices to monitor all your data without your knowledge. The Silicon Valley tech giants aren't happy about this one bit — they know a happy customer is one who expects a reasonable about of privacy with their emails, photo and social media accounts. Google, Microsoft, AOL, Apple, Yahoo, etc have formed a 40-member coalition to request more transparency, and President Obama is heading to California to meet with the heads of the social media companies to mend fences. Will he be successful, and can he reassure them (and us) that the mighty Eye of Zardon isn't all up in our emails and IMs? ----------------------------------------­----------------------------------------­ Daily videos brought to you by THE Taiwanese Animators behind the infamous Tiger Woods animation. We got the funniest animations on the web to help you stay in-the-know on all the trending stories, so sit back, relax, and watch a few. Visit our channel for your daily dose of Taiwanese Animations: https://www.youtube.com/user/NMAWorldEdition Wish all your news was animated? Subscribe now: http://www.youtube.com/subscription_center?add_user=NMAWorldEdition Can't get enough of Taiwanese animations? Connect with us here: Facebook http://www.facebook.com/NMAtv Twitter @nmatv http://www.twitter.com/nmatv Tumblr http://nmatv.tumblr.com Google+ http://gplus.to/NMAtv Web http://us.tomonews.net/category/lol
Views: 6222 TomoNews Funnies
28c3: How governments have tried to block Tor
 
01:25:40
Download high quality version: http://bit.ly/v04Z25 Description: http://events.ccc.de/congress/2011/Fahrplan/events/4800.en.html Jacob Appelbaum, Roger Dingledine: How governments have tried to block Tor Iran blocked Tor handshakes using Deep Packet Inspection (DPI) in January 2011 and September 2011. Bluecoat tested out a Tor handshake filter in Syria in June 2011. China has been harvesting and blocking IP addresses for both public Tor relays and private Tor bridges for years.
Views: 64040 28c3
Interacting with Accumulo and Graphulo using Julia/Python D4M
 
42:04
Julia and Python have become dominant languages in scientific computing, prompting the implementation of D4M in those languages. Graphulo provides a convenient mechanism for analyzing data within Accumulo using in-database graph analytics. The MATLAB®/Octave interface for Graphulo, accessible through the D4M library, provides both Accumulo and Graphulo capabilities to analysts comfortable with the matrix-based syntax of MATLAB and D4M. By introducing the Julia and Python implementations of D4M, including the Graphulo connectors, we have made D4M, Graphulo, and Accumulo more accessible to the Julia and Python community – already being explored is using Julia D4M to use Accumulo to store human brain-scale sparse deep neural networks. In this presentation, we will introduce to the Accumulo community the Julia and Python implementations of D4M and demonstrate how users can leverage those to interface with Graphulo and Accumulo. — Speakers — Lauren Milechin Sponsored Research Technical Staff, MIT EAPS Lauren Milechin is Technical Staff at MIT Earth, Atmospheric, and Planetary Sciences. Her interests and projects involve big data, database technology, machine learning, applications of these topics to other fields, and producing educational materials in these areas. Lauren also facilitates researchers on the MIT SuperCloud supercomputing system. Previously, Lauren worked as Associate Technical Staff at the Lincoln Laboratory Supercomputing Center. Ms. Milechin received an MS degree in industrial mathematics from the University of Massachusetts, Lowell, focusing in computer science applications, such as machine learning and algorithms. She holds a BS degree in mathematical sciences from Worcester Polytechnic Institute, where she explored mathematical modeling of disease and of population dynamics. Hayden Jananthan PhD Student, Vanderbilt University Hayden Jananthan is a mathematics educator. He is a certified high school mathematics teacher and has taught mathematics in Boston area public schools. He has also taught pure mathematics in a variety of programs for gifted high school students at MIT and at other institutions of higher learning. Hayden has been a researcher at MIT Lincoln Laboratory, supervising undergraduate researchers from MIT and CalTech, and authored a number of peer-reviewed papers on the application of mathematics to big data problems. His work has been instrumental in defining the mathematical foundations of associative array algebra and its relationship to other branches of pure mathematics. Hayden holds a BS degree in mathematics from MIT and is pursuing a PhD in pure mathematics at Vanderbilt University, working with Steve Simpson in Mathematical Logic. Vijay Gadepally Senior Technical Staff, MIT Lincoln Laboratory Dr. Vijay Gadepally is a senior member of the technical staff at MIT Lincoln Laboratory. Vijay's research is in the area of high performance computing, big data/IoT systems, security, analytics, and advanced database technologies. He holds a Ph.D. in Electrical and Computer Engineering from The Ohio State University and a B.Tech degree in Electrical Engineering from the Indian Institute of Technology (IIT), Kanpur. In 2017, Vijay received the Early Career Technical Achievement Award at MIT Lincoln Laboratory and was named to AFCEA's inaugural 40 under 40 list. In 2011, Vijay received an Outstanding Graduate Student Award at The Ohio State University. Vijay has also worked at Raytheon Company and Rensselaer Polytechnic Institute. Vijay has over 50 peer reviewed publications and talks. Jeremy Kepner Fellow, MIT Dr. Jeremy Kepner is a MIT Lincoln Laboratory Fellow. He founded the Lincoln Laboratory Supercomputing Center and pioneered the establishment of the Massachusetts Green High Performance Computing Center. He has developed novel big data and parallel computing software used by thousands of scientists and engineers worldwide. He has led several embedded computing efforts, which earned him a 2011 R&D 100 Award. Dr. Kepner has chaired SIAM Data Mining, the IEEE Big Data conference, and the IEEE High Performance Extreme Computing conference. Dr. Kepner is the author of two bestselling books, Parallel MATLAB and Graph Algorithms in the Language of Linear Algebra. His peer-reviewed publications include works on abstract algebra, astronomy, cloud computing, cybersecurity, data mining, databases, graph algorithms, health sciences, signal processing, and visualization. Dr. Kepner holds a BA degree in astrophysics from Pomona College and a PhD degree in astrophysics from Princeton University. — More Information — For more information see http://www.accumulosummit.com/
Views: 32 Accumulo Summit
Website Asteroid Mining Mission Revealed by Planetary Resources, Inc.
 
03:15
Planetary Resources' mission is to mine near-Earth asteroids for raw materials, ranging from water to precious metals. Through the development of cost-effective exploration technologies, the company is poised to initiate prospecting missions targeting resource-rich asteroids that are easily accessible. Resource extraction from asteroids will deliver multiple benefits to humanity and could be valued at billions of dollars annually. The effort will tap into the high concentration of precious metals found on asteroids and provide a sustainable supply to the ever-growing population on Earth. The company was founded by space visionary Peter H. Diamandis, M.D. and leading commercial space entrepreneur Eric Anderson, and is supported by an impressive investor and advisor group, including Google's Larry Page & Eric Schmidt, Ph.D.; film maker & explorer James Cameron; Chairman of Intentional Software Corporation and Microsoft's former Chief Software Architect Charles Simonyi, Ph.D.; Founder of Sherpalo and Google Board of Directors founding member K. Ram Shriram; and Chairman of Hillwood and The Perot Group Ross Perot, Jr. Visit www.planetaryresources.com for more information.
Views: 266148 Planetary Resources
What is Data Mining?
 
03:25
I Have No Intention To Claim The Ownership Of This Video All Credits To The Owner Of This Video! This Has Been Upload For Educational Purpose Only. Please Do Not Take Down This Channel! If You Do Not Agree Please Message Me So That I Can Delete The Video! Thank You Very Much! Original Video Link: https://www.youtube.com/watch?v=R-sGvh6tI04 Data mining is the computing process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.[1] It is an interdisciplinary subfield of computer science.[1][2][3] The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.[1] Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.[1] Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD.[4]The term is a misnomer, because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (mining) of data itself.[5] It also is a buzzword[6] and is frequently applied to any form of large-scale data or information processing (collection, extraction, warehousing, analysis, and statistics) as well as any application of computer decision support system, including artificial intelligence, machine learning, and business intelligence. The book Data mining: Practical machine learning tools and techniques with Java[7] (which covers mostly machine learning material) was originally to be named just Practical machine learning, and the term data mining was only added for marketing reasons.[8] Often the more general terms (large scale) data analysis and analytics – or, when referring to actual methods, artificial intelligence and machine learning – are more appropriate.The actual data mining task is the semi-automatic or automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection), and dependencies (association rule mining, sequential pattern mining). This usually involves using database techniques such as spatial indices. These patterns can then be seen as a kind of summary of the input data, and may be used in further analysis or, for example, in machine learning and predictive analytics. For example, the data mining step might identify multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system. Neither the data collection, data preparation, nor result interpretation and reporting is part of the data mining step, but do belong to the overall KDD process as additional steps.The related terms data dredging, data fishing, and data snooping refer to the use of data mining methods to sample parts of a larger population data set that are (or may be) too small for reliable statistical inferences to be made about the validity of any patterns discovered. These methods can, however, be used in creating new hypotheses to test against the larger data populations. Lets Connect: Twitter: https://twitter.com/BLAmedia1 Google+: https://plus.google.com/115816603020714793797 Facebook: https://www.facebook.com/BLAmedia-1884144591836064 LinkedIn: https://www.linkedin.com/in/blamedia
Views: 19 Pedro Puerto
2011 09 14 Evening Kirtan part 2
 
01:32:15
2011 09 14 Evening kirtan part 2 on Ukraine festival "Bhakti Sangama 2011" - HG Madhava Prabhu Rec / Processing Lilanath Dasa www.iskcon-aiv.com
Views: 277576 LilanathDasa
Esri Mining User Group Webinar - Improving Workflows with Mobile Apps
 
01:01:05
During this webinar, Jeff Shaner, Esri senior product manager, will explore how these ArcGIS apps enable your modern workforce to meet specific requirements for coordinating fieldwork activities, creating optimized routing, and collecting accurate field data. Chris Franks, Mining User Group (MUG) Chairman, will provide demonstrations of how Freeport-McMoRan is using ArcGIS apps to streamline their environmental inspections, allowing them to collect, survey, and report data all on one device.
Views: 614 Esri Industries
Defining and Enforcing Privacy in Data Publishing
 
01:04:46
Many organizations, like the Census, hospitals, and search engine companies, wish to altruistically publish unaggregated data about individuals in order to support research. Such data usually contains personal information about the individuals. The challenge is to anonymize this data such that the sensitive information about individuals is not disclosed, while useful aggregate information is preserved. However, such altruistic data releases can lead to egregious leaks of personal information, like in the case of the well publicized AOL data release fiasco in August 2006. In the first part of this talk, I will motivate the need for formally defining privacy by showing attacks on a very popular anonymization technique called k-Anonymity. I will then present my work on L-Diversity, a formal definition of privacy, that provably limits privacy breaches against bounded adversaries. In the second part of my talk, I will present some of the challenges I faced in applying formal privacy definitions to a real Census data publishing application, called OnTheMap. I will also describe the techniques I developed to combat data sparsity and to ensure that useful information was published by OnTheMap. I will conclude by briefly describing a potential application of my work in the development of a privacy-aware platform that may allow web applications to exploit personal data (search & browsing histories, social networks, tags, etc.) to enhance the users' web experience, while provably guaranteeing their privacy.
Views: 613 Microsoft Research
New Exam Listening: UK Census 2011 (revised)
 
09:41
The listening questions and definitions of difficult words can be downloaded from: http://www.myenglishexam.com/ListenPDF/s4_6_census.pdf The talk you will listen to is similar to what you will hear in Section 4 of the IELTS Listening Exam. This video is about the UK Census in 2011. Answer the questions on the screen while you listen. In the second half of the video the recording will be played again, but with the words of the talk and the answers appearing as you listen.
Views: 311 ESL4free
Alan Watt (Nov 12, 2017) Weaponised Facebook, Internet... User-Product-Predictive
 
58:47
Alan Watt Website - http://www.cuttingthroughthematrix.com/ debess backup channel is on BitChute - https://www.bitchute.com/channel/debess/ Nov. 12, 2017 "Cutting Through the Matrix" with Alan Watt (Blurb, i.e. Educational Talk) "Weaponised Facebook, Internet, Psychologically Addictive, Substitutes Reality, Isolates, User-Product-Predictive" © Alan Watt Nov. 12, 2017 TOPICS: Tabloid Trash - Hollywood Scandals - Destruction of Britain - Sex Scandals with British MPs - British Aid Minister Priti Patel Resigns Over Secret meetings She Held with Israeli Officials - Political Corruption - Harvey Weinstein - Patel's Husband, Alex Sawyer - Lord Polak, Conservative Friends of Israel (CFI) Arranged Patel's Meeting with Benjamin Netanyahu - Social Approval and Disapproval - Alternate Media - Facebook Designed to be Addictive - Your Thoughts are Updated Through Fiction - Bergen Facebook Addiction Scale - Data Mining - The Dark Side of Information Technology - Data Brokers - Socialism and Eugenics - Bernard Shaw, H.G. Wells - China, the Model State for the Rest of the World to Emulate - Cashless Society, Credit System - Jacques Attali, Winners and Losers. *Title & Dialogue Copyrighted Alan Watt - Nov. 12, 2017 (Exempting Music and Literary Quotes) ----- British aid minister resigns over undisclosed meetings in Israel http://www.jpost.com/Diaspora/British-aid-minister-resigns-over-undisclosed-meetings-in-Israel-513752 PRITI VACANT? Priti Patel faces cabinet axe after details of MORE secret meetings emerge https://www.thesun.co.uk/news/4864768/priti-patel-under-pressure-reveal-foreign-meetings/ Priti Patel https://en.wikipedia.org/wiki/Priti_Patel Out of the shadows, the powerful fixer behind Priti Patel's downfall: ANDREW PIERCE profiles the influential and shrewd political operator Lord Polak http://www.dailymail.co.uk/news/article-5064477/ANDREW-PIERCE-profiles-influential-Lord-Polak.html Foreign aid minister's husband is on £25,000 to run her office... and he still finds the time to hold down TWO other jobs! http://www.dailymail.co.uk/news/article-4501060/Priti-Patel-s-husband-paid-25-000-run-office.html Alex Sawyer https://ca.linkedin.com/in/alex-sawyer-7333ab10 Facebook Is Addictive Because It 'Exploits a Vulnerability' in People's Brains, Co-Founder Sean Parker Says https://uk.news.yahoo.com/facebook-addictive-because-apos-exploits-150326745.html Sean Parker admits Facebook was created to be addictive http://www.dailytelegraph.com.au/technology/sean-parker-admits-facebook-was-created-to-be-addictive/news-story/2e875a0022079e1a6f2cb9d295d84953 Facebook Addiction - New Psychological Scale https://www.medicalnewstoday.com/articles/245251.php New Research about Facebook Addiction http://www.uib.no/en/news/36380/new-research-about-facebook-addiction UNDER FIRE Facebook compared to Nazi propaganda as social network strikes ‘fear and anger’ among users, claims former investor https://www.thesun.co.uk/news/4892832/facebook-nazi-propaganda-as-social-network-strikes-fear-users-claims-former-investor/ Early Facebook investor compares the social network to Nazi propaganda, likens its workers to Goebbels and claims it is creating a climate of 'fear and anger' http://www.dailymail.co.uk/news/article-5071913/Facebook-investor-compares-network-Nazi-propaganda.html Internet Addiction: The New Mental Health Disorder? https://www.forbes.com/forbes/welcome/?toURL=https://www.forbes.com/sites/alicegwalton/2012/10/02/the-new-mental-health-disorder-internet-addiction/&refURL=http://cuttingthrough.jenkness.com/radio/Alan_Watt_CTTM_Blurbs.html&referrer=http://cuttingthrough.jenkness.com/radio/Alan_Watt_CTTM_Blurbs.html#6f136dc97404 Data Mining: How Companies Now Know Everything About You http://content.time.com/time/magazine/article/0,9171,2058205,00.html The Dark Side of Information Technology http://sloanreview.mit.edu/article/the-dark-side-of-information-technology/ How Big Data Profits from Your Personal Information https://beta.theglobeandmail.com/opinion/follow-your-data-from-your-phone-to-the-marketplace/article17056305/?ref=http://www.theglobeandmail.com& The Data Brokers: Selling your personal information https://www.cbsnews.com/news/the-data-brokers-selling-your-personal-information/ Good Citizens Will Get Fast Internet & Other Benefits http://www.guideinchina.com/articles/3/good_citizens_will_get_fast_internet_other_benefits_1509959471989
Views: 7215 debess
Census16 Open Data Getting Started
 
05:33
How to get started with census 2016 open data site
Views: 268 Esri Ireland