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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... Decision support is concerned with developing systems aimed at helping decision makers solve problems and make decisions . Decision support provides a selection of data analysis , simulation , visualization and modeling techniques , and ...
... decision support applications , two of which include the integration of decision support and data mining techniques . Part IV presents practical advantages and limitations of collaborative problem solving framework in a virtual ...
... Techniques and Applications , Ellis Horwood , 1994 , and co - editor of the book Relational Data Mining , Springer , 2001 . Peter Ljubič ( peter.ljubic@ijs.si ) works at the Intelligent Data Analysis and Computational Linguistics ...
... 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.skrjanc@ijs.si ) is a member of the Department of Intelligent Systems , Jožef Stefan Institute , Ljubljana , Slovenia . Her ...
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 |