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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... chapters presented in this book provide a foundation for this new research area at the intersection of data mining and ... chapter presents the decision support for data mining approach , Preface INTEGRATION ASPECTS OF DATA MINING.
... chapters of this part report on collaborative data mining and collaborative decision - making . The third chapter addresses the knowledge management aspects of collaboration . The last two chapters report on the lessons learned from the ...
... chapters would like to thank : Chapter 10 : A. and G. Andrienko , AIS , FhG , Sankt Augustin , Germany for developing some of the visualizations presented in Chapter 10 , Chapter 12 : John Bullas of Hampshire County Council for ...
... Chapter 16 : Knowledge Management Forum at Henley Management College UK for bringing them together , Chapter 18 : The company , Lauryn , s.r.o. , for providing the data for the SPA project , and Štěpán Lauryn who was very helpful in all ...
... chapter , data mining is presented from historical , application and scientific perspective . The chapter describes selected data mining methods that proved useful in the applications described in this book . 1 . INTRODUCTION Data ...
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 |