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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Supervised learning assumes that training examples are classified whereas unsupervised learning concerns the analysis of unclassified examples. In the following sections we outline some data mining tasks, Data mining 7.
In the following sections we outline some data mining tasks, discuss the appropriate methods for solving the tasks and ... In a classification task, data is usually formed from examples (records of given attribute values) which are ...
In the Mediana dataset analysis (see Chapter 11), a task of this type was defined by the following question: “Which other journals/magazines do readers of a particular journal/magazine read?” As opposed to decision tree and rule set ...
learning and classification rule learning can be used to solve the 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 ...
A selected data mining task (addressed in Chapter 11) was to use a subset of this database – 8000 questionnaires available for 1998 — to answer some questions like “What are the attributes of individuals that are consumers of a ...
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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