Data Mining and Decision Support: Integration and Collaboration

Front Cover
Dunja Mladenic
Springer Science & Business Media, Sep 30, 2003 - 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.
Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses.

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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Contents

DATA MINING
3
TEXT AND WEB MINING
15
DECISION SUPPORT
23
INTEGRATION OF DATA MINING AND DECISION SUPPORT
37
COLLABORATION IN A DATA MINING VIRTUAL ORGANIZATION
49
DATA MINING PROCESSES AND COLLABORATION PRINCIPLES
63
INTEGRATION ASPECTS OF DATA MINING AND DECISION SUPPORT
79
DECISION SUPPORT FOR DATA MINING
81
ANALYSIS OF A DATABASE OF RESEARCH PROJECTS USING TEXT MINING AND LINK ANALYSIS
157
WEB SITE ACCESS ANALYSIS FOR A NATIONAL STATISTICAL AGENCY
167
FIVE DECISION SUPPORT APPLICATIONS
177
LARGE AND TALL BUILDINGS
191
A COMBINED DATA MINING AND DECISION SUPPORT APPROACH TO EDUCATIONAL PLANNING
203
COLLABORATION ASPECTS
213
COLLABORATIVE DATA MINING WITH RAMSYS AND SUMATRA TT
215
COLLABORATIVE DECISION MAKING An environmental case study
227

DATA MINING FOR DECISION SUPPORT
91
PREPROCESSING FOR DATA MINING AND DECISION SUPPORT
107
DATA MINING AND DECISION SUPPORT INTEGRATION THROUGH THE PREDICTIVE MODEL MARKUP LANGUAGE STANDARD AND ...
119
APPLICATIONS OF DATA MINING AND DECISION SUPPORT
131
ANALYSIS OF SLOVENIAN MEDIA SPACE
133
ON THE ROAD TO KNOWLEDGE
143
LESSONS LEARNED FROM DATA MINING DECISION SUPPORT AND COLLABORATION
237
INTERNET SUPPORT TO COLLABORATION A knowledge management and organizational memory view
247
MIND THE GAP Academiabusiness partnership models and ecollaboration lessons learned
261
Subject index
271
Copyright

Other editions - View all

Data Mining and Decision Support: Integration and Collaboration
Dunja Mladenic,Nada Lavrač,Marko Bohanec,Steve Moyle
Limited preview - 2012
Data Mining and Decision Support: Integration and Collaboration
Dunja Mladenic,Nada Lavrač,Marko Bohanec,Steve Moyle
No preview available - 2012

Common terms and phrases

accidents achievement algorithm applications approach association rules attributes Bohanec brand Chapter classifiers client clustering collaborative data mining convex hull CRISP-DM customers data analysis data mining models data mining process data mining project Data Mining Virtual data preparation data preprocessing data transformation data understanding database dataset decision analysts decision modeling decision support models decision support systems decision support techniques decision tree defined described DEXi documents domain experts e-collaboration evaluation example Figure goal Grobelnik hierarchical integration interesting Jožef Stefan Institute Knowledge Discovery Lavrač lessons learned Ljubljana machine learning marketing Marko Grobelnik methodology mining and decision Mining Virtual Organization Mladenić Moyle multi-attribute model node options participants partners phase PMML positive rate prediction Proc RAMSYS ROC analysis Section selection Slovenia SolEuNet project solution specific subgroup discovery SumatraTT target task techniques text mining value drivers virtual enterprise visualization Web mining

References to this book

Bibliographic information

TitleData Mining and Decision Support: Integration and Collaboration
The Springer International Series in Engineering and Computer Science, ISSN 0893-3405
EditorDunja Mladenic
Editionillustrated
PublisherSpringer Science & Business Media, 2003
ISBN1402073887, 9781402073885
Length275 pages
Subjects ›  › 

Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
Computers / Artificial Intelligence / Expert Systems
Computers / Artificial Intelligence / General
Computers / Data Science / Data Analytics
Computers / Database Administration & Management
Computers / Image Processing
Computers / Information Technology
Computers / Information Theory
Computers / Management Information Systems
Computers / Optical Data Processing
Computers / Programming / Algorithms
Language Arts & Disciplines / Library & Information Science / General
Mathematics / Probability & Statistics / General
  
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