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
Results 1-5 of 44
... SLOVENIAN MEDIA SPACE 133 Marko Grobelnik, Maja Škrjanc, and Darko Zupanić ON THE ROAD TO KNOWLEDGE: MINING 21 YEARS OF UK TRAFFIC ACCIDENT REPORTS 143 Peter Flach, Hendrik Blockeel, Thomas Gärtner, Marko Grobelnik, Branko Kavšek ...
... Slovenian Ministry of Education, Science and Sport, – The FEDER and Programa de Financiamento Plurianual de Unidades de I&D (FCT), Portugal, – Fund for Scientific Research of Flanders, Belgium, and – The Ministry of Education, Youth and ...
... Slovenia, working on selfreferential aspects of logic and computation. His publications include papers on (computational) logic in the Journal of Logic Programming, Artificial Intelligence, Journal of Consciousness Studies and a chapter ...
... 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 maintenance projects ...
... 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 author of a ...
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 |