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 for data mining approach , which is aimed at improving the data mining process by decision support methods , in particular decision support based on the ROC analysis . The second chapter addresses the complementary data ...
... mining is concerned with the discovery of interesting and useful patterns in data . Most scientific research in data mining ... Decision support systems are based on information from the decision maker Foreword.
... decision maker and possibly from additional experts and decision makers . To achieve integrated data mining / decision making requires including the state - of - the art data mining methods and tools but also a methodology and support ...
... mining guide , CRISP - DM consortium , http://www.crisp-dm.org Mladenić , D. and Lavrač , N. ( eds . ) , ( 2003 ) . Data Mining and Decision Support for Business Competitiveness : A European Virtual ... mining and decision support XV.
... mining , Internet archiving , intelligent agents and strategic game theory . José Hernández - Orallo ( jorallo@dsic.upv.es ) is Senior Lecturer at the Department of Information Systems and Computation ... mining and decision support xix.
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 |