Data Mining and Decision Support: Integration and CollaborationDunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle 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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Integration and Collaboration Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle. SUPPORT Integration and Collaboration Edited by Dunja Mladenić , Nada Lavrač , Marko Bohanec , and Steve Moyle Springer Science + Business Media , LLC ...
... integration and by discussing the collaboration aspects and the lessons learned from practical applications . The book consists of four parts : Part I : Basic Technologies ; Part II : Integration Aspects of Data Mining and Decision ...
Integration and Collaboration Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle. Acknowledgments - The work reported in this book is a result of the research project ' Data Mining and Decision Support for Business Competitiveness ...
Integration and Collaboration Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle. Foreword The area of data mining is concerned with the discovery of interesting and useful patterns in data . Most scientific research in data mining ...
Integration and Collaboration Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle. support systems are based on information from the decision maker and possibly from additional experts and decision makers . To achieve integrated data ...
Contents
3 | |
TEXT AND WEB MINING | 15 |
DECISION SUPPORT | 23 |
INTEGRATION OF DATA MINING AND DECISION | 37 |
COLLABORATION IN A DATA MINING VIRTUAL | 49 |
DATA MINING PROCESSES AND COLLABORATION | 63 |
AN INTRODUCTION | 80 |
SUPPORTING | 91 |
MINING 21 YEARS OF | 142 |
ANALYSIS OF A DATABASE OF RESEARCH PROJECTS | 157 |
WEB SITE ACCESS ANALYSIS FOR A NATIONAL | 167 |
FIVE DECISION SUPPORT APPLICATIONS | 177 |
COLLABORATIVE DATA MINING WITH RAMSYS | 215 |
LESSONS LEARNED FROM DATA MINING DECISION | 237 |
A KNOWLEDGE | 247 |
ACADEMIABUSINESS PARTNERSHIP MODELS | 261 |
PREPROCESSING FOR DATA MINING AND DECISION | 107 |
DATA MINING AND DECISION SUPPORT INTEGRATION | 118 |
APPLICATIONS OF DATA MINING | 131 |
Subject index 271 | 270 |
Other editions - View all
Data Mining and Decision Support: Integration and Collaboration Dunja Mladenic,Nada Lavrač,Marko Bohanec,Steve Moyle No preview available - 2012 |