- ACM SIGKDD
 - 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. - Cross Industry Standard Process for Data Mining (CRISP-DM)
- 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.
- Data Mining
- 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
- Technical journal focused on the theory, techniques, and practice for extracting information from large databases.
- Data Mining Benchmarking Association (DMBA)
- Association of companies and organisations working to identify "best in class" data mining processes through benchmarking studies.
- Data Mining: An Introduction
- 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.
- Data Mining: What is Data Mining?
- Outlines what knowledge discovery, the process of analyzing data from different perspectives and summarizing it into useful information, can do and how it works.
- DMReview
- An issues and solutions publication that focuses on data warehousing as well as client/server and object technology for the enterprise.
- Electronic Statistics Textbook: Data Mining Techniques
- Outlines the crucial concepts in data mining, defines the data warehousing process, and offers examples of computational and graphical exploratory data analysis techniques.
- ITtoolbox Data Warehouse Knowledge Base
- Focusing on business intelligence, knowledge management, data mining, and other aspects of data warehousing.
- Jeff Ullman's Data Mining Lecture Notes
- 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.
- KD Nuggets
- 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.
- Knowledge Discovery Keys (KDKEYS)
- Find blogs, forums, and mailing lists dedicated to computer programming, data mining, statistics, and artificial intelligence.
- Methods for Data and Knowledge Mining
- Offers a series of definitions, examples, and figures describing the methods for statistical data analysis with decision trees.
- MLnet Online Information Service (MLnet OiS)
- Dedicated to the field of machine learning, knowledge discovery, case-based reasoning, knowledge acquisition, and data mining.
- QUEST Data Mining Project
- Developing innovative technology to discover useful patterns in large amounts of data. At the Almaden Research Centre.
- St@tServ
- Links to software, journals, consultants, data mining tools, and more.
- Statistical Data Mining Tutorials
- 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.
- Survey of Clustering Data Mining Techniques
- Survey designed to provide a comprehensive review of different clustering techniques in data mining.
- The Data Mine
- 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
- Kurt Thearling's site dedicated to sharing information about data mining, the automated extraction of hidden predictive information from databases, and other analytic technologies.
- UCI KDD Archive
- UCI Knowledge Discovery in Databases Archive was designed to enable researchers in knowledge discovery and data mining to scale existing and future data analysis algorithms to very large and complex data sets.
- Wikipedia: Data Mining
- Article about knowledge-discovery in databases (KDD), the practice of automatically searching large stores of data for patterns.
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