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 SolEuNet 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 ...
... 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
| 3 | |
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 |
WEB SITE 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 |
Other editions - View all
Data Mining and Decision Support: Integration and Collaboration Dunja Mladenic,Nada Lavrač,Marko Bohanec,Steve Moyle No preview available - 2012 |