Data Mining and Decision Support: Integration and Collaboration
Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle
Springer Science & Business Media, Dec 6, 2012 - Computers - 275 pages
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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TEXT AND WEB MINING
INTEGRATION OF DATA MINING AND DECISION
COLLABORATION IN A DATA MINING VIRTUAL
DATA MINING PROCESSES AND COLLABORATION
MINING 21 YEARS OF
ANALYSIS OF A DATABASE OF RESEARCH PROJECTS
WEBSITE ACCESS ANALYSIS FOR A NATIONAL
FIVE DECISION SUPPORT APPLICATIONS
COLLABORATIVE DATA MINING WITH RAMSYS
LESSONS LEARNED FROM DATA MINING DECISION
ACADEMIABUSINESS PARTNERSHIP MODELS
PREPROCESSING FOR DATA MINING AND DECISION
DATA MINING AND DECISION SUPPORT INTEGRATION
APPLICATIONS OF DATA MINING
Subject index 271