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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... APPROACH TO EDUCATIONAL PLANNING 203 Silvana Gasar, Marko Bohanec, and Vladislav Rajković PART IV COLLABORATION ASPECTS 213 Edited by Nada Lavrač 18. COLLABORATIVE DATA MINING WITH RAMSYS AND SUMATRA TT: PREDICTION OF RESOURCES FOR A ...
... approaches for problem solving in real settings, enabling the fusion of knowledge from experts and knowledge extracted from data, and consequently enabling the successful ... approach, which Preface INTEGRATION ASPECTS OF DATA MINING.
... approach, illustrated by two methods applied in marketing. The final two chapters of Part II describe the ... approaches to data mining and decision support integration in all Part II chapters, the applications of integrated data mining ...
... approach to such problem solving that does not rely on collecting observational data is decision making. In this approach the human decision maker makes the alternatives and the criteria for preferring one to the other explicit and then ...
... approach. In this respect, the book will be of interest also to researchers, practitioners and students of knowledge management. The virtual enterprise organizational models and testimonies of practical collaboration experiences of ...
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 |