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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... Figure 1-1. Traversing the tree to classify an instance with Age = 30, will result in the left-hand side arc originating from the root being traversed and the instance being classified as a non-reader. Algorithms for decision tree ...
... Figure 1-1. A decision tree, modeling the profile of readers of a teenage magazine. The induced set of rules can be used for classification. A rule set is usually interpreted in a top-down manner as if-then-else rules (a decision list) ...
... Figure 1-2. A dendrogram is a tree where the initial clusters, consisting of one element only, form the leaves of the tree. Each internal node represents a cluster that is formed by joining together objects from the two clusters ...
Integration and Collaboration Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle. Figure 1-2. A dendrogram, constructed through hierarchical clustering. This section briefly describes three data mining applications, whose full ...
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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 |