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.
From inside the book
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His research interests are the study and development of data, text and Web mining techniques and their applications, especially learning from large text data sets. He has worked on several national and international projects in text and ...
First, as industry needs solutions for real-life problems, one of the most important issues is the problem solving speed: many data mining methods are able to deal with very large datasets in a very efficient way, while the algorithmic ...
Most of the available tools are capable of mining data in tabular format, describing the dataset in terms of a fixed collection of attributes (properties), as is the case with transactional databases. More sophisticated tools are needed ...
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 ...
The dataset was relatively large (1.5GB) and multi-relational, and the data mining task was exploratory mining rather than simple prediction. As analyzing road safety data is a highly exploratory process, it critically depends on asking ...
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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