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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... knowledge discovery from databases , and studies at the Department of Information and Knowledge Engineering at the University of Economics in Prague . Jiří Kléma ( klema@labe.felk.cvut.cz ) is assistant professor at the Department of ...
... Knowledge - based Systems group of the Gerstner laboratory at the Czech ... discovery . Jane McKenzie ( jane.mckenzie@henleymc.ac.uk ) is a Fellow of ... knowledge management . Her research covers the effects of information technologies ...
... knowledge development within the organization . He has significant ... Discovery in Databases ( PKDD - 99 ) , Springer 1999 . Simon Rawles ( rawles ... knowledge representation for multi - relational data mining . He is also the author of ...
... discovery , computational scientific discovery and automated modeling of dynamic systems . He has co - edited a book on Computational Discovery of Communicable Knowledge , Springer , 2003 . Luis Torgo ( ltorgo@liacc.up.pt ) is a member ...
... knowledge discovery in databases . 2.1 Historical sketch Data mining appeared as a recognizable research discipline in the early nineteen nineties , with the advent of a series of data mining workshops . The birth of this area was ...
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 |