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.
... Hendrik Blockeel, Cčsar Ferri, José Hernández-Orallo, and Jan Struyf DATA MINING FOR DECISION SUPPORT: SUPPORTING MARKETING DECISIONS THROUGH SUBGROUP DISCOVERY 91 Bojan Cestnik, Nada Lavrač, Peter Flach, Dragan Gamberger, ...
He works on knowledge discovery from databases, and studies at the Department of ... His research covers machine learning, inductive databases, and subgroup discovery. Branko Kontić (branko.kontic Gijs.si) is an adviser on environmental ...
Another method for unsupervised learning is clustering, while subgroup discovery — aimed at finding descriptions of interesting population subgroups — is a form of supervised learning. 3.2.1 Association rule induction The task of ...
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 ...
Specifically, the data mining task is to find significant characteristics of customer subgroups who do not know a ... The main methods used for solving the two tasks were subgroup discovery and a method for decision support based on ROC ...
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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