Data Mining and Decision Support: Integration and Collaboration
Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle
Springer Science & Business Media, Dec 6, 2012 - 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.
... Moyle, Jane McKenzie, and Alipio Jorge 6. DATA MINING PROCESSES AND COLLABORATION PRINCIPLES Alípio Jorge, Steve Moyle, Hendrik Blockeel, and Angi Voß ix xi xiii xvii 15 23 37 49 63 PART II INTEGRATION ASPECTS OF DATA MINING 10. AND ...
... data mining and decision support, as well as their application to business problems in a collaborative setting. - Data mining is concerned with solving problems by analyzing existing data. It is the core of the knowledge discovery process ...
... data mining approach, which is aimed at improving the data mining process by decision support methods, in particular decision support based on the ROC analysis. The second chapter addresses the complementary data mining for decision ...
... data mining is only part of the total process. Experts and clients are needed in most stages of the project: to define and redefine the problem, to determine relevant aspects of the problem, to supply the data, to remove errors from the ...
... data and standards for representing intermediate results. Several practice-oriented research efforts in data mining have recognised the need for methods and tools that include a larger part of the problem solving process than data ...
TEXT AND WEB MINING
INTEGRATION OF DATA MINING AND DECISION
COLLABORATION IN A DATA MINING VIRTUAL
DATA MINING PROCESSES AND COLLABORATION
MINING 21 YEARS OF
ANALYSIS OF A DATABASE OF RESEARCH PROJECTS
WEBSITE ACCESS ANALYSIS FOR A NATIONAL
FIVE DECISION SUPPORT APPLICATIONS
COLLABORATIVE DATA MINING WITH RAMSYS
LESSONS LEARNED FROM DATA MINING DECISION
ACADEMIABUSINESS PARTNERSHIP MODELS
PREPROCESSING FOR DATA MINING AND DECISION
DATA MINING AND DECISION SUPPORT INTEGRATION
APPLICATIONS OF DATA MINING
Subject index 271