Data Mining Databases Software

Data Mining Databases Software

Data Mining

An automated analysis of structured electronic data, such as in a data warehouse, which is intended to discover previously unrecognized patterns and relationships between data items. It differs from OLAP and other forms of query-driven data analysis in that patterns are determined by the system using statistical algorithms, thereby uncovering relationships for which the user hasn't developed a query. Human analysis of the statistical patterns is then required to determine the reasons for the emerging relationships.

Top: Computers: Software: Databases: Data Mining

See Also:

- Emphasis on the applications of modern modeling methodology and techniques from Statistics, Data Mining, and Machine Learning.
- 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.
- 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.
- An online resource on data mining with applications developed using Visual Basic or the .NET framework. Features free data mining source code, applications, data mining algorithm documentation and data mining quick start guides. Includes Naive Bayes Clas
- Tim Graettinger. Data mining creates information assets that an organization can leverage to achieve these strategic objectives. In this article, we address some of the key questions executives have about data mining.
- Graphical parameter distribution and function relations analysis software for PostgreSQL
- Information on data mining and CRM technology. Includes many articles and white papers
- by Michael Meltzer
- Article by Dan Greening on data mining techniques applied to analyzing and making decisions from web data.
- A collection of Data Mining links edited by the Central Connecticut State University
- 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.
- 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 prese
- 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. Accepts submissions of original research or technical
- Web-datamining.net gather information and exchanges on Data Mining, Statistics and Knowledge Discovery, including publications, meetings and tools. In French and English
- Describes personal, professional and research capabilities on Intelligent Systems, Data Mining, Bayesian Networks and Learning Theory. Publications available in pdf format.
- Jan Mrazek says privacy and performance are key issues in business intelligence and data mining for the Bank of Montreal.
- Includes articles and guides from some of the top applied data miners including Erik Thomsen, George Spofford, and Michael Berry
- 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

MySQL - Cache Direct sec.