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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... methods, and tools for the integration of data mining and decision support, as well as their application to business problems in a collaborative setting. - Data mining is concerned with solving problems by analyzing existing data. It is ...
... data mining process by decision support methods, in particular decision support based on the ROC analysis. The second chapter addresses the complementary data mining for decision support approach, illustrated by two methods applied in ...
... data mining is concerned with the discovery of interesting and useful patterns in data. Most scientific research in data mining is aimed at developing better methods that can find more types of patterns in noisy and incomplete data and ...
... process. This requires a methodology and tools that make the process transparent. The chapters in this book contribute steps towards integrated, collaborative data mining and decision making methods, tools and methodology. They also ...
... data, text and Web mining techniques and their applications, especially learning from large text data sets. He has worked on several national and international projects in text and data mining, Internet xviii Data mining and decision ...
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 |