About.com on Data Mining
About.com presents a collection of original feature articles, net links, forum discussions and a chat room dedicated to data mining and data warehousing topics. |
Bank Of Montreal Mines Knowledge From Data
Jan Mrazek says privacy and performance are key issues in business intelligence and data mining for the Bank of Montreal. |
CRISP-DM
The CRISP-DM project has developed an industry- and tool-neutral Data Mining process model. The current process model for data mining provides an overview of the life cycle of a data mining project. |
Data Mining and Knowledge Discovery journal
Data Mining and Knowledge Discovery is a peer reviewed journal publishing articles on all aspects of Knowledge Discovery in Databases (KDD) and data mining methods for extracting high-level representations (patterns and models) from data. Submissions of |
Data Mining News
Bi-weekly subscription newsletter devoted to covering KDD industry, published by the Bethesda, Maryland-based Intelligent Data Analysis Group. |
Data Mining on the Web
Article by Dan Greening on data mining techniques applied to analyzing and making decisions from web data. |
Data Mining Resources
A collection of Data Mining links edited by the Central Connecticut State University |
Distribution Analysis module for PostgreSQL
Graphical parameter distribution and function relations analysis software for PostgreSQL |
DSS Lab
Includes articles and guides from some of the top applied data miners including Erik Thomsen, George Spofford, and Michael Berry |
E-Mining Myth & Magic: Using Data Mining Successfully
by Michael Meltzer |
Estimating Campaign Benefits and Modeling Lift (Overheads)
In assessing the potential of data mining based marketing campaigns one needs to estimate the payoff of applying modeling to the problem of predicting behavior of some target population. We present a methodology for initial cost/benefit analysis and pres |
Intelligent Enterprise magazine
Many articles focusing on the use of Data Mining in large enterprises |
Joel Ratsaby Research Web Site
Personal Web page describing personal, professional and research capabilities on Intelligent Systems, Data Mining, Bayesian Networks and Learning Theory. |
Kurt Thearling: Data Mining and CRM
Information on data mining and CRM technology. Includes many articles and white papers |
Market Mining Tools
A variety of modeling technologies to create response, retention, and valuation models and marketing analyses. These include Statistical Networks, Linear Regression, Logistic Regression, K-Nearest Neighbor and C4.5 Decision Trees. |
Neural Network software for Windows
Two data processing tools for databases based on Neural Network technology to make predictions, to discover patterns and helping on business decisions. |
OpenITx: Data Mining Discussion Group
The purpose of the Data Mining Discussion Group is to provide IT executives, managers, and professionals with a forum for discussing the appropriate selection of data mining solutions to match their needs. |
Shih Data Miner
Modelling tool that analyzes data patterns generating classification, regression or prediction models. Displays data in a graphical friendly way and with a very fast performance. |
The Data Mine
Launched in April 1994 to provide information about Data Mining (AKA Knowledge Discovery In Databases or KDD). A Twiki site full of guides, info, and links |
Top Ten Data Mining Questions
Fundamental questions can quickly clarify the business benefits and the power of a data mining system, setting its advantages in a clear perspective. |
Tyson Software
Flagship product, The Query Tool, a data mining application that performs data analysis upon any SQL database. Data can be sorted, filtered, printed and exported to a variety of formats. |
Web-Datamining
Web-datamining.net gather information and exchanges on Data Mining, Statistics and Knowledge Discovery, including publications, meetings and tools. In French and English |
Weka 3 - Data Mining with Open Source Machine Learning Software in Java
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka is |
