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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... problem solving in real settings, enabling the fusion of knowledge from experts and knowledge extracted from data, and consequently enabling the successful solution of new types of problems. The chapters presented in this book provide a ...
... problem solving framework in a 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 ...
... solve some problem: predicting sales or customer loyalty, recognising disease or predicting the effect of medical intervention, recognising fraudulent financial transactions, recognising threats to ecological systems, etc. In such ...
... solving process than data analysis. A methodology that covers the process from problem definition to presentation ... problem solving process. The latter raises a number of new problems. One type of problem is that domain experts and ...
... problem solving and knowledge sharing. Dietrich Wettschereck (dwC)comp.rgu.ac.uk) is a Senior Research Fellow at the Robert Gordon University, Aberdeen, Scotland. His research interests include machine learning (especially distance ...
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 |