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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... applications such as military decision making and discovering terrorist networks . The vision of this book , which is a result of the European SolEuNet project ' Data Mining and Decision Support for Business Competitiveness : A European ...
... applications in various scientific domains . He has co - authored over 50 publications in these areas . Marko Bohanec ( marko.bohanec@ijs.si ) is a senior researcher at Jožef Stefan Institute , Department of Intelligent Systems ...
... applications in medical and marketing domains , and has set up the Internet Data Mining Server . Thomas Gärtner ( thomas.gaertner@ais.fraunhofer.de ) is a PhD candidate at the Fraunhofer Insititute for Autononous Intelligent Systems at ...
... Applications , Ellis Horwood , 1994 , and co - editor of the book Relational Data Mining , Springer , 2001 . Peter ... application to real - world problems , especially learning from text and the Web . Steve Moyle ( steve.moyle@comlab.ox ...
... applications of data mining . He is a coeditor of the Proceedings of the conference on Principles and Practice of Knowledge Discovery in Databases ( PKDD - 99 ) , Springer 1999 . Simon Rawles ( rawles@cs.bris.ac.uk ) is a student at the ...
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 |