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. |
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... described in this book was supported also by the following national research grants: – The Slovenian Ministry of Education, Science and Sport, – The FEDER and Programa de Financiamento Plurianual de Unidades de I&D (FCT), Portugal ...
... described in the book. The work on collaborative problem solving at this high technical level provides interesting tools and observations that are worth reading as they go beyond the areas of data mining and decision support. The ...
... described in this book. 1. INTRODUCTION Data mining (Fayyad, et al., 1996, Han and Kamber, 2001, Piatetski-Shapiro and Frawley, 1991) means “solving problems by analyzing data that already exists in databases” (Witten and Frank, 1999) ...
... described in a separate chapter (Chapter 2 of this volume). This chapter gives an informal introduction to data mining. Section 2 provides the background to data mining, Section 3 describes — in a simplified manner – some data mining ...
... (described in Chapter 11) classifying people into readers and non-readers of a teenage magazine, is shown in Figure 1-1. Traversing the tree to classify an instance with Age = 30, will result in the left-hand side arc originating from ...
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 |