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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... DATA MINING AND DECISION SUPPORT Edited by Marko Bohanec 79 7 . DECISION SUPPORT FOR DATA MINING : AN INTRODUCTION TO ROC ANALYSIS AND ITS APPLICATIONS 81 Peter Flach , Hendrik Blockeel , Cčsar Ferri , José Hernández - Orallo , and Jan ...
... data analysis , simulation , visualization and modeling techniques , and software tools such as decision support systems , group decision support and mediation systems , expert systems , databases and data warehouses . Data mining and ...
... data mining / decision making requires including the state - of - the art data mining methods and tools but also a ... analysis . A methodology that covers the process from problem definition to presentation and delivery of the ...
... data analysis . He has worked on various induction - based data analysis applications in medical and marketing domains , and has set up the Internet Data Mining Server . Thomas Gärtner ( thomas.gaertner@ais.fraunhofer.de ) is a PhD ...
... data mining , including association and classification rules , and Web mining . He has organized several international conferences and other events in artificial intelligence and data mining . He is the coordinator of the data analysis ...
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 |