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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... MINING Nada Lavrač and Marko Grobelnik 2. TEXT AND WEB MINING Dunja Mladenič and Marko Grobelnik 3. DECISION SUPPORT Marko Bohanec 4. INTEGRATION OF DATA MINING AND DECISION SUPPORT Nada Lavrač and Marko Bohanec 5. COLLABORATION IN A DATA ...
... ANALYSIS OF A DATABASE OF RESEARCH PROJECTS USING TEXT MINING AND LINK ANALYSIS 157 Marko Grobelnik and Dunja Mladenić WEBSITE ACCESS ANALYSIS FOR A NATIONAL STATISTICAL AGENCY 167 Alípio Jorge, Mário A. Alves, Marko Grobelnik, Dunja ...
... mining and the specific area of text and web mining. The next two chapters describe decision support itself and the proposed technology for data mining and decision support integration. Collaboration in a data mining virtual ...
... mining approach, which is aimed at improving the data mining process by decision support methods, in particular decision ... text and Web mining applications. The final three chapters report on decision support applications, two of which ...
... text and Web mining techniques and their applications, especially learning from large text data sets. He has worked on several national and international projects in text and data mining, Internet xviii Data mining and decision support.
Contents
1 | |
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 |
WEBSITE 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 |