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 47
... PREDICTION OF RESOURCES FOR A HEALTH FARM 215 Olga Štěpánková, Jiří Kléma, and Petr Mikšovsky 19. COLLABORATIVE DECISION MAKING: AN ENVIRONMENTAL CASE STUDY 227 Tanja Urbančić, Marko Bohanec, and Branko Kontić 20. LESSONS LEARNED FROM ...
... predicting the effect of medical intervention, recognising fraudulent financial transactions, recognising threats to ... predicted effects, and so on. A complementary approach to such problem solving that does not rely on collecting ...
... ) is a student at the Laboratory of Medicinal Chemistry at the Rega Institute in Leuven, Belgium. His research interests include structure based drug design, structure prediction of biopolymers and Data mining and decision support xxi.
... prediction of biopolymers and machine learning. Maarten van Someren (maartenG) swi.psy.uva.nl) is Lecturer in Artificial Intelligence at the University of Amsterdam. His research interests include machine learning, data mining, methods ...
... prediction and classification, and descriptive data mining methods which can be used for exploratory data analysis to discover individual patterns, such as associations, clusters, and other patterns that can be of interest to the user ...
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 |