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  • DMReview Open site in a new window - An issues and solutions publication that focuses on data warehousing as well as client/server and object technology for the enterprise.
  • KD Nuggets Open site in a new window - Newsletter on the data mining and knowledge industries, offering information on data mining, knowledge discovery, text mining, and web mining software, courses, jobs, publications, and meetings.
  • MLnet Online Information Service (MLnet OiS) Open site in a new window - Dedicated to the field of machine learning, knowledge discovery, case-based reasoning, knowledge acquisition, and data mining.
  • The Data Mine Open site in a new window - Provides information about data mining also known as knowledge discovery in databases (KDD) or simply knowledge discovery. List software, events, organisations, and people working in data mining.
  • Thearling.com Open site in a new window - Kurt Thearling's site dedicated to sharing information about data mining, the automated extraction of hidden predictive information from databases, and other analytic technologies.
  • Wikipedia: Data Mining Open site in a new window - Article about knowledge-discovery in databases (KDD), the practice of automatically searching large stores of data for patterns.
  • Cross Industry Standard Process for Data Mining (CRISP-DM) Open site in a new window - Project developed an industry- and tool-neutral data mining process model. CRISP-DM was based on the practical, real-world experience of how people do data mining projects.
  • St@tServ Open site in a new window - Links to software, journals, consultants, data mining tools, and more.
  • Data Mining Benchmarking Association (DMBA) Open site in a new window - Association of companies and organisations working to identify "best in class" data mining processes through benchmarking studies.
  • Data Mining: What is Data Mining? Open site in a new window - Outlines what knowledge discovery, the process of analyzing data from different perspectives and summarizing it into useful information, can do and how it works.
  • Electronic Statistics Textbook: Data Mining Techniques Open site in a new window - Outlines the crucial concepts in data mining, defines the data warehousing process, and offers examples of computational and graphical exploratory data analysis techniques.
  • Jeff Ullman's Data Mining Lecture Notes Open site in a new window - Offers an introduction to various data mining applications and techniques: association-rule mining, low-support/high correlation, query flocks, searching the Web, web mining, and clustering.
  • ITtoolbox Data Warehouse Knowledge Base Open site in a new window - Focusing on business intelligence, knowledge management, data mining, and other aspects of data warehousing.
  • Statistical Data Mining Tutorials Open site in a new window - Includes a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms.
  • Data Mining: An Introduction Open site in a new window - About.com article on how businesses are discovering new trends and patterns of behaviour that previously went unnoticed through data mining, automated statistical analysis techniques.
  • QUEST Data Mining Project Open site in a new window - Developing innovative technology to discover useful patterns in large amounts of data. At the Almaden Research Centre.
  • ACM SIGKDD Open site in a new window - Association for Computing Machinery special interest group and forum for advancement and adoption of the science of knowledge discovery and data mining. Also includes an online version of their newsletter, SIGKDD Explorations, that is published twice yearly.
  • Data Mining Open site in a new window - Introduction to knowledge discovery, the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data.
  • Data Mining and Knowledge Discovery Open site in a new window - Technical journal focused on the theory, techniques, and practice for extracting information from large databases.
  • Methods for Data and Knowledge Mining Open site in a new window - Offers a series of definitions, examples, and figures describing the methods for statistical data analysis with decision trees.
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      Data Mining

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