- Data Mining Misconceptions #2: How Much Data - Feb 28, 2011.
Before diving into a data mining project, an organization must consider whether it has the quantity and quality of data necessary to produce a successful predictive model.
- Data Mining Research Interview: Roberto Battiti - Feb 28, 2011.
After reading the first chapters of Reactive Business Intelligence, I was suprised: what a clear way of presenting complex topics! I thus decided to ask a few question to one of the author, Roberto Battiti
- Behind the Information Overload Hype - Feb 25, 2011.
The digital avalanche isn't as massive as those numbers suggest. Much of the growth reflects the surge in high-resolution video and photos. In addition, while there is much more information available, each piece is being consumed, on average, by far fewer people than in the past.
- Encyclopedia of Machine Learning - Feb 25, 2011.
This comprehensive reference covers many key topics in machine learning with pointers to further reading
- Trusting Data, Not Intuition - Feb 24, 2011.
Businesses will learn harsh but valuable truths if they subject new ideas to controlled experiments, says Microsoft's Ronny Kohavi
- Data Mining Fundamentals: Khabaza's 9 Laws of Data Mining - Feb 19, 2011.
The heart of the data mining philosophy has been expressed best by a pioneer of data mining, Tom Khabaza, in his 9 Laws of Data Mining.
- New Data Mining Books from Springer - Feb 19, 2011.
Domain Driven Data Mining and Data Mining and Multi-agent Integration, from Springer
- New Book: Behavioral Analytics for Anonymous Advertising Anywhere (A3) - Feb 15, 2011.
A3 marketing is the convergence of offline and online data from websites, social networks and mobile devices and artificial intelligence software enabling advertisers and enterprises to monetize consumers behaviors - for the targeted placement of products, content or services via multiple channels - in a relevant and personal manner.
- KDnuggets 11:n05, IBM Watson in Jeopardy; DM Income Poll; Upcoming courses and conferences - Feb 15, 2011.
Latest news on data mining & analytics, including Features (6) | Courses (6) | Webcasts (1) | Software (4) | Jobs (6) | Academic (3) | Meetings (4) | AudioVideo (3) | Publications (8) | NewsBriefs (5) | CFP (10)
- New Website Launched for the Analytics Industry - Feb 14, 2011.
Analytics-magazine.com launched by INFORMS
- How Much Information Is There in the World? - Feb 13, 2011.
New report documents the world's capacity to store, communicate, and compute information. By 2007, humanity was able to store 295 exabytes of information.
- Web Analytics: Frequently Asked Questions And Direct Answers - Feb 10, 2011.
Avinash Kaushik, Google's web analytics guru, answers frequent questions from readers, in his always great style.
- The Role of UI In The Big Data Revolution - Feb 7, 2011.
a promiment VC shares his view on Strata Big Data Conference the role of user interface in the Big Data Revolution.
- Rainbird: Realtime Analytics at Twitter - Feb 7, 2011.
Rainbird is a highly distributed software Twitter uses for analytics. This presentation was made at Strata 2011 Conference.
- Strata Data Conference, Feb 2 - Feb 4, 2011.
Followthedata blog report on first day of O'Reilly Strata Data Conference
- The Road to BI Success - Feb 3, 2011.
Read an active Q&A session with Dan Vesset, IDC Program Vice President of Business Analytics on building a successful enterprise BI strategy.
- Gartner Magic Quadrant for BI Platforms - Feb 2, 2011.
In 2010, business users had greater influence over BI buying, often choosing data discovery vendors as an alternative to traditional BI tools. But megavendors continued to hold the majority of BI market share.
- KDnuggets 11:n04, IBM vs humans in Jeopardy; Analytics Role, Experience; Mining Fashion - Feb 2, 2011.
Latest news on data mining & analytics, including Features (5) | Courses (1) | Software (1) | Jobs (6) | Academic (1) | Meetings (4) | AudioVideo (1) | Publications (5) | NewsBriefs (4) | CFP (5)
- Data Mining Research Interview: Stuart Shulman - Feb 1, 2011.
For Texifter customers, the need to mine social media data is seamlessly fulfilled through the deployment Application Programming Interfaces (APIs) in DiscoverText.
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