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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... virtual enterprise formed from remote teams collaborating mostly via the Internet . The first two chapters of this part report on collaborative data mining and collaborative decision - making . The third chapter addresses the knowledge ...
... Virtual Enterprise ' ( SolEuNet IST - 11495 , 2000-2003 ) , enabling twelve academic and business teams to form a virtual enterprise aimed at the development of practical data mining and decision - making solutions for clients . The ...
... concerning the principal - agent theory and Andrej Orel for the collaboration in studying IPR issues and virtual enterprise models . Foreword The area of data mining is concerned with the xii Data mining and decision support.
... Virtual Enterprise ' ( Mladenić and Lavrač , 2003 ) , is to take the scope of the methods and tools one step further , covering the business and collaboration aspects , as well as the decision making stage of the problem solving process ...
... Virtual Enterprise , Final Report , http://soleunet.ijs.si . Morik , K. and Scholz , M. ( 2003 ) . The MiningMart Approach to Knowledge Discovery in Databases , In ( eds . Zhong , N. and Liu , J. ) , Handbook of Intelligent IT , IOS ...
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 |