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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... specific area of text and web mining. The next two chapters describe decision support itself and the proposed technology for data mining and decision support integration. Collaboration in a data mining virtual organization and ...
... specific areas in the manner which follows. A reader interested in data mining only is suggested to read Chapters 1 and 2 of Part I and followed by reading about the real-life applications of data mining in Chapters 11 and 12 of Part ...
... specific applications such as military decision making and discovering terrorist networks. The vision of this book, which is a result of the European SolRuNet project 'Data Mining and Decision Support for Business Competitiveness: A ...
... specific phases of the process are also emerging. These standards include: — the XML-based Predictive Modeling Markup Language (PMML) standard for storing and sharing data mining results (see Chapter 10), — a standard extending the ...
... specific domain areas (e.g., bioinformatics, multimedia data, textual and web data) in collaboration with clients and researchers from different application areas. Moreover, the development of hardware will — for example – enable ...
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 |