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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... solving problems by analyzing existing data . It is the core of the knowledge discovery process , which aims at the ... problem solving in real settings , enabling the fusion of knowledge from experts and knowledge extracted from data ...
... problem solving framework in a virtual enterprise formed from remote teams collaborating mostly via the Internet . The first two chapters of this part report on collaborative data mining and collaborative decision - making . The third ...
... solve some problem : predicting sales or customer loyalty , recognising disease or predicting the effect of medical ... solving that does not rely on collecting observational data is decision making . In this approach the human decision ...
... problem solving process . The latter raises a number of new problems . One type of problem is that domain experts and decision makers must be able to participate in the process . This requires a methodology and tools that make the ...
... problem solving and knowledge sharing . Dietrich Wettschereck ( dw@comp.rgu.ac.uk ) is a Senior Research Fellow at the Robert Gordon University , Aberdeen , Scotland . His research interests include machine learning ( especially ...
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 |