- published: 25 May 2010
- views: 287366
NJIT School of Management professor Stephan P Kudyba describes what data mining is and how it is being used in the business world.
Kirsten Drysdale finds out how retailers knew a teenager was pregnant before her parents did, in a story about the way our data is collected and used. How viewers can get involved in THE CHECKOUT: http://facebook.com/checkouttv http://twitter.com/checkouttv #thecheckout http://futube.net.au (where you can send in video complaints) email@example.com (email us directly)
In this video we describe data mining, in the context of knowledge discovery in databases. More videos on classification algorithms can be found at https://www.youtube.com/playlist?list=PLXMKI02h3_qjYoX-f8uKrcGqYmaqdAtq5 Please subscribe to my channel, and share this video with your peers!
Video report of Day2 of World Congress of DAta Miners Travailleurs Psychique, Alytus 2011 by التنجر نفسية ITIHAD RABNA AL-TUNJUR AL-ALAMIYA AL-FIKRIYA and نجمن متن کھنیک اور عملی کارکن ANJUMAN MATAN KAHNEEK AUR AMALI KARKAN (AMKAAK)
https://genesis-mining.com/pricing https://ethereum.org Ethereum is the first ‘world computer’. It is a decentralized network that can be used by anyone and is capable of running applications with no possibility of downtime, censorship or fraud. It's native currency, Ether is one of the fastest growing cryptocurrencies next to Bitcoin. Just a few months ago, the price was $1, then it shot up to $13 and today it has settled at just under $10. This rapid growth excited investors who were eager not to miss out on another hyper-growth investment opportunity. While some choose to invest in Ethereum directly, many are turning to Cloud Mining to enter the market. Our Enigma Farm is a computation cluster built for exactly this venture. If you are as fascinated by the Ethereum project as we ar...
It's time to talk about possible new races or subraces in Legion, including some new datamined information from 7.3.2. ●Patreon - https://patreon.com/bellular ●Twitter - https://twitter.com/BellularGaming ●I Stream on Twitch.tv! - http://bit.ly/BellularTwitch WoW News Websites - MMO-Champion.com - WoWHead.com - The WoW Devs are on Twitter (http://wow.joystiq.com/2014/02/25/wow-insiders-guide-to-blizzard-twitter-accounts/)
Subscribe to Motherboard Radio today! http://apple.co/1DWdc9d In October of last year Motherboard gained access to a massive, secretive Bitcoin mine housed within a repurposed factory in the Liaoning Province in rural northeast China. This is the infrastructure that keeps the digital currency’s decentralized network up and running, and its operators are profiting big time. The mine we visited is just one of six sites owned by a secretive group of four people, part of a colossal mining operation that, as of our visit, cumulatively generated 4,050 bitcoins a month, equivalent to a monthly gross of $1.5 million. Read more on Motherboard - http://bit.ly/Chinese-Bitcoin-Mine Up Next: The Beaver Slayers of Patagonia - http://bit.ly/Beaver-Slayers Subscribe to MOTHERBOARD: http://bit.ly/S...
The World of Warcraft test server was updating with a build of 8.0 - the Battle for Azeroth patch is now in beta. While we can't play it yet, here's what that means, and what's been datamined so far. ► Subscribe here: https://www.youtube.com/user/PCGamesN ◄ Visit us at: https://www.pcgamesn.com/ Twitch: https://twitch.tv/pcgamesn Facebook: https://www.facebook.com/PCGamesNetwork Twitter: https://twitter.com/PCGamesN
Google Tech Talks June 26, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
World of Warcraft Legion comes to a close. Ion has confirmed that there will be a new expansion reveal at Blizzcon 2017 and people are already dataming Silithus maps that look to be from the pre-patch. We talk 8.0 speculation, Argus, Antorus, the new Battlenet phone app, audio dramas, the Mythic+ Dungeon Invitational and more in this episode of the Weekly Reset: Taliesin and Evitel's Wondrous Wisdomshow. Knowledge is power
( Data Science Training - https://www.edureka.co/data-science ) This tutorial will give you an overview of the most common algorithms that are used in Data Science. Here, you will learn what activities Data Scientists do and you will learn how they use algorithms like Decision Tree, Random Forest, Association Rule Mining, Linear Regression and K-Means Clustering. To learn more about Data Science click here: http://goo.gl/9HsPlv The topics related to 'R', Machine learning and Hadoop and various other algorithms have been extensively covered in our course “Data Science”. For more information, please write back to us at firstname.lastname@example.org Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
In our weekly #DataTalk, we had a chance to talk with Meta Brown about her work in data science and her latest book: Data Mining for Dummies. You can learn more about her by going to her website: http://www.metabrown.com/ You can read a full transcription of this video by going to: http://ex.pn/metabrown You can learn about upcoming #DataTalk events and tweetchats: http://experian.com/datatalk
Talk given at TEDxGeorgeMasonU, April 6th 2013. Read full bios and event information at www.TEDxGeorgeMasonU.com Dr. Kirk Borne is a Multidisciplinary Data Scientist and an Astrophysicist. He is Professor of Astrophysics and Computational Science in the George Mason University School of Physics, Astronomy, and Computational Sciences (SPACS). He received his B.S. degree in physics from LSU and his Ph.D. in astronomy from Caltech. After 20 years working in NASA, he changed course and became a data scientist in the then new field of 'Data Mining'. His TEDx talk covers some of the basic ideas behind data mining, and how it influences us every day. If you are a Twitter user, you can follow him there as he actively tweets about Big Data, Data Science, and Astronomy under the handle @KirkDBorne....
In today's world we seem more lost despite the abundance of information. Tirthankar Dash, story teller & design thinker for leading businesses around the world gives us a cheat sheet to discover the inner story in each one of us, towards living a more fulfilled life Dash is the founder of Quantum360, a design firm that takes a human-centered, design-based approach to helping organisations innovate and design for a more human future. He is also the co-founder of StoryCompany, a company that serves as a search engine to find meaning at work and in life. StoryCo. is devoted to humanizing workplaces and helping each person explore themselves, their beliefs, behavior patterns and indeed their own story to arrive at their own unique answer to a fundamental question - “What makes my life mean...
My web page: www.imperial.ac.uk/people/n.sadawi The slides can be found here: https://github.com/nsadawi/DataMiningSlides
R is already a Swiss army knife for data analysis largely due its 6000 libraries but until now it lacked an interface to the Google Analytics API. The release of RGoogleAnalytics library solves this problem. What this means is that digital analysts can now fully use the analytical capabilities of R to fully explore their Google Analytics Data. In this webinar, Andy Granowitz, Developer Advocate (Google Analytics) & Kushan Shah, Contributor & maintainer of RGoogleAnalytics Library will show you how to use R for Google Analytics data mining & generate some great insights. Useful Resources:http://bit.ly/r-googleanalytics-resources
For more information: https://www.bitcoinmining.com and https://www.weusecoins.com What is Bitcoin Mining? Have you ever wondered how Bitcoin is generated? This short video is an animated introduction to Bitcoin Mining. Credits: Voice - Chris Rice (www.ricevoice.com) Motion Graphics - Fabian Rühle (www.fabianruehle.de) Music/Sound Design - Christian Barth (www.akkord-arbeiter.de) Andrew Mottl (www.andrewmottl.com)
Web Mining Web Mining is the use of Data mining techniques to automatically discover and extract information from World Wide Web. There are 3 areas of web Mining Web content Mining. Web usage Mining Web structure Mining. Web content Mining Web content Mining is the process of extracting useful information from content of web document.it may consists of text images,audio,video or structured record such as list & tables. screen scaper,Mozenda,Automation Anywhere,Web content Extractor, Web info extractor are the tools used to extract essential information that one needs. Web Usage Mining Web usage Mining is the process of identifying browsing patterns by analysing the users Navigational behaviour. Techniques for discovery & pattern analysis are two types. They are Pattern Analysis...
What is clustering Partitioning a data into subclasses. Grouping similar objects. Partitioning the data based on similarity. Eg:Library. Clustering Types Partitioning Method Hierarchical Method Agglomerative Method Divisive Method Density Based Method Model based Method Constraint based Method These are clustering Methods or types. Clustering Algorithms,Clustering Applications and Examples are also Explained.
Some exploration of the recent warframe drama, and statements by Void_Glitch and DE Rebecca. Srs bsns so no joeks and shit sorry.
Speaker: Tom Khabaza Tom will introduce the fundamentals of data mining: its applications, the process and the underlying principles, and apply this to data analysis tools. Using a “magic quadrant” for analytical tool design, Tom will overview a number of open and commercial tools, compare their strengths and weaknesses, and suggest how to place open data analysis tools at the top of the data mining heap. Bio: Tom Khabaza, sometimes called “the Isaac Newton of Data Mining” is the Founding Chairman of the Society of Data Miners. A data mining veteran of 25 years and many industries and applications, Tom helped create the world-leading Clementine data mining workbench (now called IBM SPSS Modeler) and the industry standard CRISP-DM analytics methodology, and led the first integrations of ...