Data Mining and Decision Support: Integration and Collaboration
Springer Science & Business Media, Sep 30, 2003 - Computers - 275 pages
Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others.
Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.
TEXT AND WEB MINING
INTEGRATION OF DATA MINING AND DECISION SUPPORT
COLLABORATION IN A DATA MINING VIRTUAL ORGANIZATION
DATA MINING PROCESSES AND COLLABORATION PRINCIPLES
INTEGRATION ASPECTS OF DATA MINING AND DECISION SUPPORT
DECISION SUPPORT FOR DATA MINING
ANALYSIS OF A DATABASE OF RESEARCH PROJECTS USING TEXT MINING AND LINK ANALYSIS
WEB SITE ACCESS ANALYSIS FOR A NATIONAL STATISTICAL AGENCY
FIVE DECISION SUPPORT APPLICATIONS
LARGE AND TALL BUILDINGS
A COMBINED DATA MINING AND DECISION SUPPORT APPROACH TO EDUCATIONAL PLANNING
COLLABORATIVE DATA MINING WITH RAMSYS AND SUMATRA TT
COLLABORATIVE DECISION MAKING An environmental case study
DATA MINING FOR DECISION SUPPORT
PREPROCESSING FOR DATA MINING AND DECISION SUPPORT
DATA MINING AND DECISION SUPPORT INTEGRATION THROUGH THE PREDICTIVE MODEL MARKUP LANGUAGE STANDARD AND ...
APPLICATIONS OF DATA MINING AND DECISION SUPPORT
ANALYSIS OF SLOVENIAN MEDIA SPACE
ON THE ROAD TO KNOWLEDGE