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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... techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Data mining and decision support are, each on their own, well-developed ...
... techniques. Part IV presents practical advantages and limitations of collaborative problem solving framework in a virtual enterprise formed from remote teams collaborating mostly via the Internet. The first two chapters of this part ...
... Techniques and Applications, Ellis Horwood, 1994, and co-editor of the book Relational Data Mining, Springer, 2001. Peter Ljubić (peter.ljubic Qijs.si) works at the Intelligent Data Analysis and Computational Linguistics Research Group ...
... techniques and is actively involved in external specialist research in the area of knowledge management. His interests include the innovative use of information technologies to combat the problems of information overload. Jiří Palouš ...
... techniques for improving scalability and efficiency in relational data mining systems. Maja. Škrjanc. (maja.skrjancGijs.si) is a member of the Department of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia. Her research ...
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 |