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 47
... PREDICTION OF RESOURCES FOR A HEALTH FARM 215 Olga Štěpánková , Jiří Kléma , and Petr Mikšovský 19 . COLLABORATIVE DECISION MAKING : AN ENVIRONMENTAL CASE STUDY 227 Tanja Urbančič , Marko Bohanec , and Branko Kontić 20 . LESSONS LEARNED ...
... predicting the effect of medical intervention , recognising fraudulent financial transactions , recognising threats ... predicted effects , and so on . A complementary approach to such problem solving that does not rely on collecting ...
... ) is a student at the Laboratory of Medicinal Chemistry at the Rega Institute in Leuven , Belgium . His research interests include structure based drug design , structure prediction of biopolymers Data mining and decision support xxi.
... prediction of biopolymers and machine learning . is Lecturer in Artificial Maarten van Someren ( maarten@swi.psy.uva.nl ) Intelligence at the University of Amsterdam . His research interests include machine learning , data mining ...
... prediction and classification , and descriptive data mining methods which can be used for exploratory data analysis to discover individual patterns , such as associations , clusters , and other patterns that can be of interest to the ...
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 |