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KNIME (Konstanz Information Miner) is a user-friendly and comprehensive open-source data integration, processing, analysis, and exploration platform. From day one, KNIME has been developed using rigorous software engineering practices and is used by professionals in both industry and academia in over 60 countries. KNIME grows to accommodate your demand for data analytics. While KNIME Team Space suits small teams, the KNIME Server provides support for a full corporate setting including user authentication, remote execution, scheduling, SOA integration and a configurable web browser user interface. When combined with KNIME Cluster Execution the workflows can be sent to a compute cluster for parallel execution. KNIME has been selected by Gartner as Cool Vendor 2010 in the key technology areas Analytics, Business Intelligence, and Performance Management. http://www.knime.org/

KNIME | Konstanz Information Miner

Free Statistical Software

Are you interested in earning a business intelligence certification through a prominent SAS-accredited institution? If so, please visit the web pages describing this program, which deals with data mining and using technology in a business setting. This page contains links to free software packages that you can download and install on your computer for stand-alone (offline, non-Internet) computing. They are listed below, under the following general headings: Free, but... http://statpages.org/javasta2.html

Credit Scoring, Data Mining, Predictive Analytics, Statistics, StatSoft Electronic Textbook

This Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses and covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics, credit scoring , forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others. The Electronic Textbook begins with an overview of the relevant elementary (pivotal) concepts and continues with a more in depth exploration of specific areas of statistics, organized by "modules" and accessible by buttons, representing classes of analytic techniques. A glossary of statistical terms and a list of references for further study are included. http://www.statsoft.com/textbook/
SAS

R

RapidMiner

Octave