the process of using sophisticated software to identify commercially useful statistical patterns or relationships in online databases
the extraction of information from a data warehouse to assist managerial decision making. The information obtained in this way helps organizations gain a better understanding of their customers and can be used to improve customer support and marketing activities.
Wiktionary Definition for: Data Mining
#a technique for searching large-scale databases for patterns; used mainly to find previously unknown correlations between variables that may be commercially useful
CARY, N.C. -- SAS, the leader in business intelligence, today announced that enhancements to its award-winning data mining and text mining software will ship this fall. SAS' integrated data mining and text mining capabilities uncover insights quickly from information contained in structured data as well as unstructured data in large...
This paper is based on a survey carried out in the Malaysian environment. The paper starts with a definition of data warehouses, data mining and this is followed by a description of its current status in the Malaysian data mining environment. This is followed by a discussion on why data...
Data mining is emerging as one of the key features of many homeland security initiatives. Often used as a means for detecting fraud, assessing risk, and product retailing, data mining involves the use of data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. In...
CUPERTINO, Calif.--BUSINESS WIRE--May 20, 1996--Business Objects (NASDAQ: BOBJY), the world's leading provider of integrated query, reporting, and online analytical processing OLAP tools, today announced a comprehensive Open Data Mining Initiative that will let customers use a wide range of advanced data mining techniques in conjunction with its flagship product, BusinessObjects...
Data mining--a technique for extracting knowledge from large volumes of data--is being used increasingly by the government and by the private sector. Many federal data mining efforts involve the use of personal information, which can originate from government sources as well as private sector organizations. The paper describes the characteristics...
PALO ALTO, Calif. and CARY, N.C.--BUSINESS WIRE--July 10, 1997 --Hewlett-Packard Company and SAS Institute -- selected as data-mining leaders in a recent META Group survey -- today announced a collaborative effort to offer enterprisewide data-mining solutions. These solutions combine SAS Institute's data-mining software and expertise with HP's consulting and integration...
Industrial-Strength Data-Mining Tools-NCR Corporation, Dayton, Ohio, and Integral Solutions Limited ISL, Basingstoke, Hampshire, United Kingdom, have entered a new phase of their partnership. In the new relationship, ISL will integrate certain value-added features from NCR's Knowledge Discovery Workbench into the next version of ISL's Clementine data-mining product, version 4.5. Using...
This paper first provides a brief background on the basic concepts and development of data mining and how it relates to data warehousing. Data mining and data warehousing are relatively new and rapidly expanding areas of information systems for which new courses and curricula being created. A brief background on...
Data mining is the process of exploring large amounts of data in search of important patterns, which can then be analyzed statistically to produce useful information for managers and other decision makers. Examples of useful statistical results include performance metrics, risk measures, and all types of forecasts. This article explains...
With the exponential growth in the amount of data being collected, improvements in technology, and research in machine learning, retailers are now able to reduce the ever growing difficult and complex decision making process by recruiting the efforts of data mining. Data mining is a computerized technology that uses complicated...
BEDFORD, Mass.--BUSINESS WIRE--Sept. 4, 1997-- Thinking Machines Corporation, a leading provider of advanced data mining applications serving the telecommunications and financial services industries, today announced Darwin 2.1, the latest version of its data mining solution for customers with very large databases.
STAMFORD, Conn. -- As part of its ongoing effort to help users evaluate vendor offerings, META Group (Nasdaq: METG) today announced the availability of a METAspectrumSM report on the data mining market. Data mining tools cull through large data sets to provide predictive and prescriptive analysis. This information is used...
CUPERTINO, Calif.--BUSINESS WIRE--Nov. 25, 1996--NeoVista Solutions, Inc., a leading provider of enterprise-level data mining solutions, and Informix Software, Inc. (NASDAQ:IFMX), the leading provider of innovative database technology, announced today the two companies are working together to tightly couple NeoVista's Decision Seriesx suite of integrated data mining tools with the INFORMIXr-Universal...
CHICAGO--BUSINESS WIRE--Jan. 21, 1999--Out of the hundreds of data mining products on the market today, SPSS Inc.'s (Nasdaq: SPSS) newly acquired Clementine product has been named Best Data Mining Product of 1998 by Data Warehousing Trends Bulletin. This award was announced in the January issue just after the December 1998...
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