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. |
From inside the book
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... permissions@wkap.com Printed on acid-free paper. Soleunet is a registered trademark of Alarix d.o.o. Ljubljana. Used with permission. Contents Preface Acknowledgments Foreword Contributing Authors PART I BASIC TECHNOLOGIES.
... collaboration aspects in Part IV. Editors: Dunja Mladenić, Nada Lavrač, Marko Bohanec, and Steve Moyle Ljubljana and Oxford Acknowledgments The work reported in this book is a result X Data mining and decision support.
... Ljubljana, and assistant professor in information systems at the University of Ljubljana, School of Public Administration. His research interests relate to decision support systems and data mining, in particular to qualitative ...
... Ljubljana, Slovenia. His professional and research interests include knowledge based information systems, decision support systems and machine learning. He has been responsible for several large-scale software development and ...
... Ljubljana, Slovenia. He is also the general manager and creative director of the marketing agency Kline & Partner. He has been a management consultant to Slovenian companies in marketing, management and communications skills. He is the ...
Contents
| 1 | |
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 |
WEBSITE 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 |