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.
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The work reported in this book is a result of the research project 'Data Mining and Decision Support for Business Competitiveness: A European Virtual Enterprise' (Soleunet IST-11495, 2000–2003), enabling twelve academic and business ...
Chapter 12: John Bullas of Hampshire County Council for his enthusiasm and guidance throughout the project. John Bullas acknowledges support from the AA Foundation for Road Safety Research and the CSS (formerly the County Surveyors ...
Foreword The area of data mining is concerned with the discovery of interesting and useful patterns in data. ... standards for representing data and patterns and business aspects such as project planning and feasibility assessment.
The Japanese Active Mining project (Motoda, 2002) extends the scope to the active acquisition of data and emphasises the role of a domain expert in all stages of the data mining process. The US project on Evidence Extraction and Link ...
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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