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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: 2597 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: 7890 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
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: 571 CanvasLMS
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
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
Tonight - Canada Census Data Mining with guest Art Lowe
 
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Tonight - Canada Census Data Mining with guest Art Lowe, Libertarian
2011-01-28 :: Data Mining :: Part 1
 
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Webinar about Data Mining
Views: 252 lrrcenter
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: 3901 Christiaan008
Data Mining with Weka (2.2: Training and testing)
 
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Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 2: Training and testing http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/D3ZVf8 https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 64374 WekaMOOC
Data Cleaning for Census Analysis
 
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This video is about Data Visualization. I am writing a strategic communications plan for [email protected] In Tech with a special focus in the DC area and want to know where Latinos are working. My research showed me that the proportion of Latino's education in DC is bimodal -- they are highly educated with post-secondary education or not very educated -- less that a high school diploma. We also saw the proportion of individual income is also bimodal --Latinos are disproportionally earning below 30K or above 70K. I want to make the connection that Latinos who are in white collar jobs are also earning 70K in their job and are also highly educated. Combined with other data, we can make better assumptions about who they are, their motivations, and messaging we can use to better target them and get them involved in out cause.
Views: 235 Mariella Paulino
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: 249 getmethisdata
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: 106 Packt Video
Modeling Forest Fire Occurence in Riau Province, Indonesia using Data Mining Method
 
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Ms. Imas Sukaeshi Sitanggang Lecturer, Faculty of Natural Science and Mathematics, Bogor Agricultural University, Indonesia
Views: 188 SEAMEO SEARCA
DATA QUALITY MINING
 
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Data Quality Mining by TS SARMA
Views: 51 joshua udyagiri
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: 1605 MetroInsight
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: 132090 nptelhrd
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: 12 Pedro Puerto
Tottenkoph -- Data Mining for (Neuro) hackers
 
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All videos at: http://www.irongeek.com/i.php?page=videos/derbycon1/mainlist
Views: 1152 Adrian Crenshaw
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: 545 SABC Digital News
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're extremely passionate about data science. Our in-person data science training has been attended by more than 3200+ employees from over 600 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: http://bit.ly/2ma8mEu See what our past attendees are saying here: http://bit.ly/2mQLQpc -- 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: 3516 Data Science Dojo
CITYSPEC - A mobile tool to monitor basic service delivery in informal settlements
 
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Communities in Cape Town’s informal settlements live in harsh conditions. Rapid urban growth causes major challenges for basic service delivery. Allocated toilets, taps and street lights are often broken and do not get adequately maintained due to lack of monitoring. CITYSPEC is a partnership between VPUU NPC and Formula D interactive with the aim to leverage mobile technology to help trained community workers to log reports in the field, take photos and capture GPS data of facilities. The systems backbone is a cloud-based administration and reporting centre, allowing users to create and track inspections, and monitor the status of facilities on an on-going basis. The system provides appropriate data mining and reporting tools to visualize and extract information needed by the city to action immediate remedial work. Since January 2016 CITYSPEC is being piloted in Monwabisi Park, an informal settlement in Cape Town with approximately 26,000 residents in 6,500 households. In January 2016 inspection runs with Cityspec identified and reported 56 faults on water taps and 115 faults on toilets, and identified the actual ratio to 1 working tap per 50 households and 1 working toilet per 27 households in the area (Cityspec impact report, Jan-Feb 2016). The aim of CITYSPEC is to expand utilisation of the app through VPUU NPC to other areas until 2018. After this, CITYSPEC will be made available to other organisations worldwide. Access to clean and safe water and sanitation is an undeniable human right. It is inextricably linked with quality of life, dignity, health, food security, safety and educational outcomes (SAHRC, 2014). In informal settlements, City of Cape Town has a target of one toilet for every five households and one tap for every 25 households. Yet, one in three South African’s lack access to basic sanitation (The Big Issue, 2014). The 2011 Census reported more than 29,000 households in Cape Town lacked access to appropriate sanitation (Census, 2011). The Social Audit Report (2014) cited unhygienic, unsafe toilets that result from the current haphazard monitoring and maintenance services (SJC et al, 2014). Cityspec provides a scalable system to improving access to essential basic services. It helps monitoring the status of infrastructure and their GPS locations, integrates into municipal reporting systems, and facilitates rapid repairs. References: • “Lifting the Lid: Township toilets special report.” The Big Issue. 25 August-24 September, 2014. • South African Census 2011 • “Report on the right to access sufficient water and decent sanitation in South Africa: 2014”. South African Human Rights Commission, 2014 • “Our Toilets are Dirty: Report of the Social Audit into the Janitorial Service for Communal Flush Toilets in Khayelitsha, Cape Town”. Social Justic Coalition, Ndifuna Ukwazi, IBP. 14th-19th July, 2014.
BIGDATA in TELUGU
 
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Follow us on https://t.me/Learnerspage Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy. BIGDATA in TELUGU https://youtu.be/jdPhsYZU_5E?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy. Data science & Big data in Telugu https://youtu.be/5XQ3lmPVV8M?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to Knowledge Discovery in Databases (KDD). Tableau in Telugu https://youtu.be/iPvwRyeAGYA?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Within these data are huge, unparalleled opportunities for human advancement. But to turn opportunities into reality, people need the power of data at their fingertips. Tableau is building software to deliver exactly that. Big Data Tool R Installation in Telugu https://youtu.be/hdTLyC-KL_I?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX https://cran.r-project.org/bin/windows/base/ https://www.rstudio.com/products/rstudio/download/ R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Tableau in Telugu:How to Creat Groups in Charts https://youtu.be/i1z1lGJvQQU?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX Data Warehouse in Telugu https://youtu.be/xFLE1_V7u6M Business Intelligence is a technology based on customer and profit-oriented models that reduce operating costs and provide increased profitability by improving productivity, sales, service and helps to make decision-making capabilities at no time. Business Intelligence Models are based on multidimensional analysis and key performance indicators (KPI) of an enterprise R Programming in Telugu:How to Write CVS files and Extract Data from data.[Lesson-3] https://youtu.be/oeh9fyru9-o?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX This video is about: How to write CSV file in R . How to remove the columns from data set or data frame in R R Programming Tutorial in Telugu: How to Read data in R [Lesson2] https://youtu.be/CL0RG4NTuq4?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX In This R Tutorial you will find clear way, how to read the CVS files in R Studio. How to use commands SETWD(), READ.CSV(), HEAD(), TAIL(),VIEW() FETCH DATA FROM SQL TO EXCEL https://youtu.be/IqukX_hKEnE?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX Tableau in Telugu: Tableau Colors https://youtu.be/fHvg0irp1ds?list=PLZdcIlxTKvf4pkxc78BW1LSdnT1gWCSQX Pareto Chart Analysis https://youtu.be/TPZaIX4S1TU Pareto Analysis is a statistical technique in decision-making used for the selection of a limited number of tasks that produce significant overall effect. It uses the Pareto Principle (also known as the 80/20 rule) the idea that by doing 20% of the work you can generate 80% of the benefit of doing the entire job. Population Pyramid Chart https://youtu.be/poWV5VsideI Download the file in below link https://drive.google.com/file/d/1eWu8zXxh1QRFQj4OJAkG_S7AuHIDqY04/view A population pyramid also called an "age pyramid" is a graphical illustration that shows the distribution of various age groups in a population
Views: 14688 Learners Page
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: 113041 WekaMOOC
Stratified Sampling
 
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An example of Stratified Sampling.
Views: 372020 Steve Mays
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: 592 Lynn Langit
Statistics - Find the z score
 
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This example shows how to find the z-score for a data point. Remember that the z-score tells you how many standard deviations away from the mean a particular point lies. For more videos please visit http://www.mysecretmathtutor.com
Views: 592744 MySecretMathTutor
Basic Data Mining - Lesson 2
 
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Building a Targeted Mailing Structure (Basic Data Mining Tutorial)
Views: 39 Anh Lee
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: 63579 28c3
Predicting with Foursquare Data
 
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Justin Moore presents, "Predicting with Foursquare Data", at Strata Ignite 2011
Views: 315 O'Reilly
Video 1: Introduction to Simple Linear Regression
 
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We review what the main goals of regression models are, see how the linear regression models tie to the concept of linear equations, and learn to interpret the coefficients of a simple linear regression model with an example. TABLE OF CONTENTS: 00:00 Simple Linear Regression 00:17 Objectives of Regressions 02:54 Variable’s Roles 03:30 The Magic: A Linear Equation 04:21 Linear Equation Example 05:24 Changing the Intercept 06:02 Changing the Slope 07:00 But the world is not linear! 07:44 Simple Linear Regression Model 08:25 Linear Regression Example 09:16 Data for Example 09:46 Simple Linear Regression Model 10:17 Regression Result 11:02 Interpreting the Coefficients 12:38 Estimated vs. Actual Values
Views: 234458 dataminingincae
Asteroid Mining Will Revolutionize Our Future Economy
 
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Try 23andMe at: http://www.23andme.com/okay Read “Soonish” by Kelly and Zach Weinersmith! https://smbc-comics.com/soonish/ ↓↓↓ More info and sources below ↓↓↓ Don’t miss our next video! SUBSCRIBE! ►► http://bit.ly/iotbs_sub Asteroid mining sounds like something out of a bad space movie, but harvesting materials from space rocks might be our ticket to building space colonies or living on Mars. Most of Earth’s precious and rare metals are locked too far in the crust for us to get at them, and launching them to space is too expensive for us to supply large colonies off Earth or explore far off worlds. How do we get our hands on the planetary resources inside asteroids? Let’s find out! Special thanks to Kelly and Zach Weinersmith for working with us on this video. Check out their new book “Soonish” for a hilarious and science-filled look at future technologies: https://smbc-comics.com/soonish/ SOURCES/EXTRAS: Badescu, Viorel, ed. Asteroids: Prospective energy and material resources. Springer Science & Business Media, 2013. Crawford, Ian A. "Asteroids in the service of humanity." arXiv preprint arXiv:1306.2678 (2013). Kleine, Thorsten. "Geoscience: Earth's patchy late veneer." Nature 477.7363 (2011): 168-169. ----------- FOLLOW US: Merch: https://store.dftba.com/collections/its-okay-to-be-smart Facebook: http://www.facebook.com/itsokaytobesmart Twitter: @okaytobesmart @DrJoeHanson Tumblr: http://www.itsokaytobesmart.com Instagram: @DrJoeHanson Snapchat: YoDrJoe ----------- It’s Okay To Be Smart is hosted by Joe Hanson, Ph.D. Director: Joe Nicolosi Writer: Dr. Shaena Montanari Editor/animator: Andrew Orsak Producer: Stephanie Noone and Amanda Fox Produced by PBS Digital Studios Music via APM Stock images from Shutterstock http://www.shutterstock.com -----------
Views: 241883 It's Okay To Be Smart
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: 3313 Freedom Free For All
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: 462 RankHigher.ca
Sampling and Statistical Inference in Data Mining
 
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This video gives the basic overview of Sampling and Population. Sampling Design and Importance of sampling is also discussed
Views: 1880 StudyKorner
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: 39809 re:publica
boxplot with outliers
 
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Math
Views: 231966 Diane R Koenig
04/20/18 : 2020 Census Quarterly Program Management Review (PMR)
 
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1:00 p.m. Welcome and High-Level Program Updates – Albert E. Fontenot, Jr.,Associate Director, Decennial Census Programs; James B. Treat, Assistant Director, Decennial Census Programs, Operations and Schedule Management 1:30 p.m. Update on Testing/Demonstration • 2018 End-to-End Census Test – Deborah Stempowski, Chief, Decennial Census Management Division • 2018 End-to-End Census Test: Nonresponse Followup – Jennifer W. Reichert, Decennial Census Management Division • eCaSE Enumeration Demonstration – Jennifer Weitzel, Kopen Henderson, and Matthew Tau, Decennial Census Management Division • Wrap-up and Final Remarks on Testing Status – Deborah Stempowski, Chief, Decennial Census Management Division 2:30 p.m. •Update on Cybersecurity; Validating and Ensuring Data Integrity; and Update on Systems Readiness – Kevin Smith, Associate Director for Information Technology and Chief Information Officer, IT Directorate; Atri Kalluri, Chief, Decennial Information Technology Division 3:15 p.m. Break 3:30 p.m. 2020 Census Operations • Update on National Partnerships – Raul E. Cisneros, Communications Directorate • Update on Communications – Kaile H. Bower, Decennial Communications Coordination Office • Geographic Programs Update – Deirdre Dalpiaz Bishop, Chief, Geography Division • Redistricting: The Road to 2020 – James Whitehorne, Chief, Census Redistricting and Voting Rights Office 4:30 p.m. Wrap-Up – Michael Thieme, Office of the Associate Director for Decennial Census Programs
Views: 1103 uscensusbureau
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
Knudepunkt 2015 presentation of the Larp Census data
 
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An audio recording of Aaron Vanek's presentation of the Larp Census data (an overview of the ~30,000 replies) is matched with the slides that were displayed. Recording by Derrick Ferry (apologies for any static noises, it was not recorded with pro equipment). Data processed by Ryan Paddy and Talia Shmuel. For more info: larpcensus.org
Views: 1840 Larp Census
Asteroid Mining Mission Revealed by Planetary Resources, Inc.
 
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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: 106154 Planetary Resources
Friday lunchtime lecture: Data – our latest weapon in the fight against hunger
 
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Food banks have become a part of the social and political landscape in the past few years, with the Trussell Trust Foodbank Network’s latest statistics showing usage at an all-time high. Can open data help us to understand the scale of the problem, and point the way to solutions or better targeting of resources? Simon Raper and Andy Hamflett will show how they aligned Trussell Trust client and food bank location data with a range of open datasets to create the UK’s first dynamic visualisation tool for food poverty. As well as mapping geographical demand, the prototype platform also aligns findings to 2011 Census data to predict where additional foodbanks may be needed. The project – delivered alongside academics from Hull University Business School – presented the Trussell Trust with many new insights, and points to much greater strategic potential for a wider community of charities working to counter UK poverty. Simon Raper from Coppelia is an RSS accredited statistician with over 15 years’ experience working in data mining and analytics and many more in coding and software development. His specialities include machine learning, time series forecasting, advanced statistical modelling, market simulation and data visualisation. In 2014 he founded Coppelia Machine Learning and Analytics whose clients include J Sainsbury, Omnicom Media Group, FindMyPast and Blue 449 (formerly Walker Media), MSL Group, BARB and The Trussell Trust. His blog on statistics, cloud computing and data visualisation has attracted over 450K views and his posts have featured in the on-line editions of The New York Times and The New Yorker. Andy Hamflett from AAM Associates focuses on the uses of data and digital tools to drive positive social impact. Particular interests are mobile-for-good initiatives, innovation in the Blue Economy, data for social impact and the potential of new socially-responsible business models in the digital economy. Andy has held various leadership roles in the voluntary, private and public sectors – from Chief Executive of a national youth charity to Head of Democratic Services in an inner London borough – and continues to work and advise across many sectors, from education to health to the arts. Help us caption & translate this video! http://amara.org/v/PrlJ/
Views: 112 Open Data Institute
data mining
 
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Creación de una Minería de datos con sql server 2008 y excel 2010, Integrantes: Patricio Silva, Jimmy Orozco, Sandro Toctaguano
Views: 813 Patricio Silva
Cerner's Michelle Brush Asks if We Have Too Much Choice in Tech
 
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From OSCON 2015 in Portland, an interview with Cerner's Engineering Director. About Michelle Brush: Michelle Brush is a math geek turned computer geek. She has developed algorithms and data structures for search, compression, and data mining in embedded as well as enterprise systems. In her current role as a senior software architect for Cerner Corporation, she manages and mentors software engineers and architects on test-driven development, software architecture, code quality, and communication. She is also the chapter leader for the Kansas City chapter of Girl Develop It, and one of the conference organizers for Midwest.io. Watch more from OSCON 2015: https://goo.gl/vD6vda Find out more about OSCON: http://oscon.com/open-source-2015 Don't miss an upload! Subscribe! http://goo.gl/szEauh Stay Connected to O'Reilly Media by Email - http://goo.gl/YZSWbO Follow O'Reilly Media: http://plus.google.com/+oreillymedia https://www.facebook.com/OReilly https://twitter.com/OReillyMedia
Views: 1086 O'Reilly
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: 2987 uscensusbureau
Using Census Data to Calculate Basic Statistics
 
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Walk-through for sourcing Census data to produce rate of change statistics.
Views: 804 Heidi Baez
Moneyball (2011) Movie Trailer - HD - Brad Pitt
 
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The story of Oakland A's general manager Billy Beane's successful attempt to put together a baseball club on a budget by employing computer-generated analysis to draft his players. Director: Bennett Miller Writers: Steven Zaillian (screenplay), Aaron Sorkin (screenplay) Stars: Brad Pitt, Robin Wright and Jonah Hill Via: http://movies.yahoo.com/trailers/
Views: 2281271 Movieclips Trailers
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.
How Politicians Can Use Big Data to Win Elections
 
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Politicians have been redrawing districts to benefit their own political parties—a tactic known as Gerrymandering—since the 1970s. But recently, data aggregation technology has enabled politicians to choose their voters more strategically than ever before.
Views: 12233 The Atlantic