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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... MARKETING DECISIONS THROUGH SUBGROUP DISCOVERY 91 Bojan Cestnik , Nada Lavrač , Peter Flach , Dragan Gamberger , and Mihael Kline 9 . PREPROCESSING FOR DATA MINING AND DECISION SUPPORT 107 Olga Štěpánková , Petr Aubrecht , Zdeněk Kouba ...
... marketing . The final two chapters of Part II describe the integration of data mining and decision support in data pre - processing , and through model standardization and visualization . Part III describes in detail real - life ...
... marketing , health care , finance , environment , economic planning , career planning , and military . The ultimate purpose of industrial data mining is the use of the resulting patterns to solve some problem : predicting sales or ...
... marketing domains , and has set up the Internet Data Mining Server . Thomas Gärtner ( thomas.gaertner@ais.fraunhofer.de ) is a PhD candidate at the Fraunhofer Insititute for Autononous Intelligent Systems at Sankt Augustin and a ...
... marketing agency Kline & Partner . He has been a management consultant to Slovenian companies in marketing , management and communications skills . He is the author of a book , four monographs and over 50 professional articles ...
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 |