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 55
... solution of new types of problems . The chapters presented in this book provide a foundation for this new research area at the intersection of data mining and decision support . This is achieved by proposing a conceptual framework and ...
... solutions for clients . The successful remote collaboration of partners in this project was funded by the Commission of European Communities . We are grateful to the project officer Ralf Hansen and project reviewers Luis Camarinha ...
... solutions . The Japanese Active Mining project ( Motoda , 2002 ) extends the scope to the active acquisition of data and emphasises the role of a domain expert in all stages of the data mining process . The US project on Evidence ...
... solutions are applied to public participation processes , cooperative spatial planning projects and sustainable communication processes for decision - making , problem solving and knowledge sharing . Dietrich Wettschereck ( dw@comp.rgu ...
... solutions enhancing the traditional solutions based upon data management and reporting . Existing core database technology was able to solve the basic data management issues like how to deal with the data in transactional processing ...
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 |