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 45
... SLOVENIAN MEDIA SPACE Marko Grobelnik , Maja Škrjanc , and Darko Zupanič 133 12 . ON THE ROAD TO KNOWLEDGE : MINING 21 YEARS OF UK TRAFFIC ACCIDENT REPORTS 143 Peter Flach , Hendrik Blockeel , Thomas Gärtner , Marko Grobelnik , Branko ...
... 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 ...
... Slovenia , working on self- referential 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 ...
... 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 ...
... 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 ...
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 |