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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... SUBGROUP DISCOVERY 91 Bojan Cestnik, Nada Lavrač, Peter Flach, Dragan Gamberger, and Mihael Kline PREPROCESSING FOR DATA MINING AND DECISION SUPPORT 107 Olga Štěpánková, Petr Aubrecht, Zdeněk Kouba, and Petr Mikšovsky DATA MINING AND ...
... subgroup discovery. Branko Kontić (branko.kontic Gijs.si) is an adviser on environmental impact assessment for industry, regulators and Slovenian government institutions. He has been engaged in preparing methodologies for strategic ...
... discovery of individual patterns/rules describing regularities in the data. In the Mediana dataset analysis (see ... subgroup discovery — aimed at finding descriptions of interesting population subgroups — is a form of supervised ...
... subgroup discovery task, as in the case of propositional algorithms SD (Gamberger and Lavrač, 2002) and CN2-SD (Lavrač, et al., 2002a), and a relational subgroup discovery algorithm RSD (Lavrač, et al., 2002b). A sample subgroup ...
... subgroup discovery and text mining. 4.3 The analysis of brand recognition questionnaire data In marketing problems, described in Chapter 8, the task is to find customer subgroups that can be targeted by advertising campaigns ...
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 |