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Search results “Janganana 2011 data mining”
28c3: Data Mining the Israeli Census
 
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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: 2601 28c3
28c3: Datamining for Hackers
 
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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: 7937 28c3
28c3 - Data Mining the Israeli Census
 
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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
Billion Dollar Bracket Data Mining Scheme
 
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It's March Madness and basketball fans are going mad over Quicken Loans' billion dollar bracket challenge. The Oracle of Omaha, Warren Buffett has promised one billion dollars for the perfect bracket. Buffett is one of the most successful investors in the world. RT's Perianne Boring asks, 'what could he be getting out of this? The answer: YOUR data. Find RT America in your area: http://rt.com/where-to-watch/ Or watch us online: http://rt.com/on-air/rt-america-air/ Like us on Facebook http://www.facebook.com/RTAmerica Follow us on Twitter http://twitter.com/RT_America
Views: 5855 RT America
28c3 -  Datamining for Hackers
 
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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: 196 SecurityTubeCons
Data Mining with Canvas | InstructureCon 2011
 
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Seth Gurell demonstrates how Utah Valley University is using data mining within Instructure Canvas to improve student learning.
Views: 575 CanvasLMS
CFA Level I Sampling and Estimation Video Lecture by Mr. Arif Irfanullah
 
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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: 21134 IFT
Introduction to Data Mining: Summary Statistics
 
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Part two of data exploration and visualization, we discuss summary statistics and the frequency and mode of a attribute. -- 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/H0f9jZv0 See what our past attendees are saying here: https://hubs.ly/H0f9j_J0 -- Like Us: https://www.facebook.com/datascienced... Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data... Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_scienc... -- Vimeo: https://vimeo.com/datasciencedojo
Views: 3192 Data Science Dojo
28C3: Data Mining the Israeli Census (en)
 
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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: 243 Christiaan008
SOC 4650/5650 - Lecture 08b - Accessing Census Data in R
 
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This video is part of the Saint Louis University course Intro to GIS. It is the second of three videos associated with Lecture 08: Demographic Data. This video covers the R package tidycensus.
Views: 257 Chris Prener
Basic Data Mining - Lesson 2
 
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Building a Targeted Mailing Structure (Basic Data Mining Tutorial)
Views: 41 Anh Lee
Introduction to Data Mining: Missing & Duplicated Data
 
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In part three of the introduction to Data Quality, we discuss missing values and duplicated data -- 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/datascienced... Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data... Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_scienc... -- Vimeo: https://vimeo.com/datasciencedojo
Views: 4672 Data Science Dojo
Tutorial: How to Access Census Data
 
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In this brief tutorial, we will explore the US Census Bureau's website and learn how to extract data from it.
Views: 2152 MetroInsight
DEFCON 17: Dangerous Minds: The Art of Guerrilla Data Mining
 
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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: 3908 Christiaan008
Scott Wilson teaches MBA Students about Data Mining
 
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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: 465 RankHigher.ca
Stratified Sampling
 
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An example of Stratified Sampling.
Views: 410560 Steve Mays
Data Mining Gig On Fiverr.com
 
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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: 280 getmethisdata
TEDxUVM 2011 - Marta González - Mobile Data for Urban Transformation
 
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MARTA GONZÁLEZ Marta González (MIT) integrates methods of complex systems with statistical physics approaches, computational sciences, geographic information systems and network theory to characterize and model human dynamics. Her current research explores human mobility patterns and analyzes network organization in relation to its attributes in social systems and spreading dynamics. About TEDx In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 2099 TEDx Talks
Data Mining with Weka (1.1: Introduction)
 
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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: 120281 WekaMOOC
BADM 1.2: Data Mining in a Nutshell
 
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What is Data Mining? How is it different from Statistics? This video was created by Professor Galit Shmueli and has been used as part of blended and online courses on Business Analytics using Data Mining. It is part of a series of 37 videos, all of which are available on YouTube. For more information: http://www.dataminingbook.com https://www.twitter.com/gshmueli https://www.facebook.com/dataminingbook Here is the complete list of the videos: • Welcome to Business Analytics Using Data Mining (BADM) • BADM 1.1: Data Mining Applications • BADM 1.2: Data Mining in a Nutshell • BADM 1.3: The Holdout Set • BADM 2.1: Data Visualization • BADM 2.2: Data Preparation • BADM 3.1: PCA Part 1 • BADM 3.2: PCA Part 2 • BADM 3.3: Dimension Reduction Approaches • BADM 4.1: Linear Regression for Descriptive Modeling Part 1 • BADM 4.2 Linear Regression for Descriptive Modeling Part 2 • BADM 4.3 Linear Regression for Prediction Part 1 • BADM 4.4 Linear Regression for Prediction Part 2 • BADM 5.1 Clustering Examples • BADM 5.2 Hierarchical Clustering Part 1 • BADM 5.3 Hierarchical Clustering Part 2 • BADM 5.4 K-Means Clustering • BADM 6.1 Classification Goals • BADM 6.2 Classification Performance Part 1: The Naive Rule • BADM 6.3 Classification Performance Part 2 • BADM 6.4 Classification Performance Part 3 • BADM 7.1 K-Nearest Neighbors • BADM 7.2 Naive Bayes • BADM 8.1 Classification and Regression Trees Part 1 • BADM 8.2 Classification and Regression Trees Part 2 • BADM 8.3 Classification and Regression Trees Part 3 • BADM 9.1 Logistic Regression for Profiling • BADM 9.2 Logistic Regression for Classification • BADM 10 Multi-Class Classification • BADM 11 Ensembles • BADM 12.1 Association Rules Part 1 • BADM 12.2 Association Rules Part 2 • Neural Networks: Part I • Neural Networks: Part II • Discriminant Analysis (Part 1) • Discriminant Analysis: Statistical Distance (Part 2) • Discriminant Analysis: Misclassification costs and over-sampling (Part 3)
Views: 966 Galit Shmueli
What is Data Mining?
 
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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: 18 Pedro Puerto
Types of Data: Nominal, Ordinal, Interval/Ratio - Statistics Help
 
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The kind of graph and analysis we can do with specific data is related to the type of data it is. In this video we explain the different levels of data, with examples. Subtitles in English and Spanish.
Views: 802968 Dr Nic's Maths and Stats
Statistics South Africa continues to breakdown the Census 2011 data
 
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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: 570 SABC Digital News
Screw The Census
 
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*****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.
MBA 738 Data Mining for Business Intelligence | George Mason University MBA
 
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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: 1638 GeorgeMasonBusiness
Advanced Statistics and Data Mining for Data Science: The Course Overview | packtpub.com
 
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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: 122 Packt Video
Lecture - 34 Data Mining and Knowledge Discovery
 
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Lecture Series on Database Management System by Dr. S. Srinath,IIIT Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 133579 nptelhrd
PowerBI and Census Mining Part One
 
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Using PowerBI, PowerQuery US Census Data and DnB Cleanse Match to produce a contact list - part one of three
Views: 650 Lynn Langit
28c3: How governments have tried to block Tor
 
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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: 63876 28c3
Statistics intro: Mean, median, and mode | Data and statistics | 6th grade | Khan Academy
 
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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: 1860397 Khan Academy
re:publica 2012 - Eben Moglen - Freedom of Thought Requires Free Media
 
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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: 40030 re:publica
Representational similarity analysis of visual-object population codes
 
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A presentation given at Dartmouth College by Nikolaus Kriegeskorte (Cambridge CBU)
Views: 2481 Dartmouth
Census Bureau API Tools -- Tiger Web Development
 
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This topic will present a number of new initiatives at the Census Bureau which suggest a bright future for GIS and Census data analysis. With the introduction of TIGERWeb last year, and the new preloaded geodatabases this year, the Census Bureau launched a new era of serving census geography data online. Now with the advent of the Census API, new possibilities exist for merging dynamic queries with desktop GIS and GIS online.
Search Engines & Your Privacy (5/5)
 
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Listen or download at http://itsrainmakingtime.com/2010/katherinealbrecht/ What data do search engines collect, and to what degree do they violate your privacy? Privacy advocate and expert Dr. Katherine Albrecht introduces us to a new search engine called Startpage and tells us what search engines should (and shouldn't) do. She is the author of Spychips, which explains how RFID technology tracks every move and purchase. Today, we have an opportunity to decide whether we will allow search engines to record our internet activity for data mining purposes. The time has come to move beyond Google's data mining grid. Tune in to find out how!
Views: 287 ItsRainmakingTime
Esri Mining User Group Webinar - Improving Workflows with Mobile Apps
 
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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: 590 Esri Industries
Mod-01 Lec-38 Genetic Algorithms
 
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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: 149704 nptelhrd
Census Data - Part 1: Census Data Basics
 
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Topic: Census Data Basics The focus of this webinar is the many data resources available on census.gov. A detailed explanation of each resource will be provided; as well as suggestions on what to use when. Moreover, the usage of the resources will be highlighted for use by educators, communications professionals, college students, elected officials, and business people.
Alan Watt (Nov 12, 2017) Weaponised Facebook, Internet... User-Product-Predictive
 
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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: 7113 debess
Defining and Enforcing Privacy in Data Publishing
 
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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: 545 Microsoft Research
War on Data
 
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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.
secc data 2011 में अपना नाम देखें ऐसे !
 
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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: 8638 TECH DIGITALS
Data from websites: cleansing dirty data
 
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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: 12950 Qlik
Census Bureau Director Robert M. Groves on Celebrating World Statistics Day
 
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Dr. Robert M. Groves, Census Bureau Director, explains how statistics help synthesize the huge amount of data available in the modern world, and the Census Bureau's role as a creator of key statistical tools.
Views: 3002 uscensusbureau
New Exam Listening: UK Census 2011 (revised)
 
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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: 304 ESL4free
Census Data Quick Analysis in Excel
 
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Learn how to use Sparklines and the Quick Analysis Tool in Excel to conduct an analysis of Census data
Views: 491 uscensusbureau
Big Data Intro - GlobalPulse - GAbriefing2011
 
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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: 1766 UN Global Pulse
Census threats of jail or fines!
 
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One of our viewers sent us this video of them standing up for their privacy rights and what they have learned from Paul Stein's report on what is voluntary and Mandatory (watch that video here https://www.youtube.com/watch?v=-3Mv9OX_b4E )
Views: 3753 Freedom Free For All

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