Archive for the ‘Info Links’ Category

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Links Compilation #2

Wednesday, November 4th, 2009

1) Business Intelligence Books:  Discover what business intelligence ( bi ) books top execs and consultants are reading to refine their strategic plan for their organization. Business Intelligence Books is the place to go for the best discount prices on SAS reference and support books. We offer a large, constantly updating selection of SAS produced manuals as well as books by users so you’ll always find what you need. With tons of books from industry recognized authors, We’re sure to have exactly what you want. Why pay regular prices when you can buy discount business intelligence books online from Business Intelligence Books? To start browsing our catalog, click on one of our categories on the menu on the left under the section marked “Products”, or use our search utility on the top menu to search using keywords.

2) Dataspace: DataSpace is a web services based infrastructure for exploring, analyzing, and mining remote and distributed data. This site describes DataSpace protocols, DataSpace applications, and open source DataSpace servers and clients.

3) Sql Server Datamining: This site has been designed by the SQL Server Data Mining team to provide the SQL Server community with access to and information about our exciting data mining features.

4) KDnuggets: Data Mining Community’s Top Resource Since 1997 for Data Mining and Analytics news, software, jobs, courses, data, and more.

Read older Link Compilation # 1

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Interesting Informational Links Compilation #1

Monday, October 5th, 2009

We decided to post from time to time compilation of interesting links pertaining to datamining, machine learning and more. Today’s compilation are as below:

1) Google’s Techtalk on  Supporting Scalable Online Statistical Processing:

2) Apache Lucene Mahout :

Mahout’s goal is to build scalable, Apache licensed machine learning libraries. Initially, we are interested in building out the ten machine learning libraries detailed inhttp://www.cs.stanford.edu/people/ang//papers/nips06-mapreducemulticore.pdf using Hadoop. While these algorithms are our initial focus, we welcome contributions of other machine learning approaches.

3) Kurt’s Recomended Datamining books: A must visit.

4) MIT Reality Mining:

Reality Mining defines the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes possible the modeling of conversation context, proximity sensing, and temporospatial location throughout large communities of individuals. Mobile phones (and similarly innocuous devices) are used for data collection, opening social network analysis to new methods of empirical stochastic modeling.

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