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
Results 1-5 of 34
... machine learning , pattern recognition , statistics , visualization , and others . Decision support is concerned with developing systems aimed at helping decision makers solve problems and make decisions . Decision support provides a ...
... artificial intelligence and computer science ( LIACC ) of the University of Porto , Portugal . He works on adaptive hypertext and data mining , and teaches artificial intelligence and software engineering at the Open University of ...
... Intelligent Systems , Jožef Stefan Institute , Ljubljana , Slovenia . His professional and research interests include knowledge based information systems , decision support systems and machine learning . He has been responsible for ...
... artificial intelligence , machine learning , data mining and software engineering . His publications include several books and book chapters in these areas . Alípio Jorge ( amjorge@liacc.up.pt ) is a member of the Artificial ...
... Artificial Intelligence . His research interests mainly focus on privacy issues in distributed data mining . Nada Lavrač ( nada.lavrac@ijs.si ) is Head of the Intelligent Data Analysis and Computational Linguistics Research Group at ...
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 |