Data Mining and Decision Support: Integration and CollaborationDunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle 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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... mining , Internet archiving , intelligent agents and strategic game theory ... mining and software engineering . His publications include several books and book ... Web mining . He has organized several international conferences and other ...
... mining . Nada Lavrač ( nada.lavrac@ijs.si ) is Head of the Intelligent Data ... mining , inductive logic programming , and intelligent data analysis in medicine ... Web . Steve Moyle ( steve.moyle@comlab.ox.ac.uk ) is a researcher at the ...
... mining and web mining . Jan Rauch ( rauch@vse.cz ) is Head of the EuroMISE centrum Cardio department and member of the Department of Information and Knowledge Engineering at the University of Economics , Prague , Czech Republic . His ...
... web mining are used for web page analysis ; text categorization ; the acquisition , filtering and structuring of textual information ; and for natural language processing . Visualization refers to both the visualization of data and the ...
... mining of structured data stored in data warehouses - e.g. , in the form of relational data tables - there has recently been also increased interest in the mining of unstructured data such as text and web . Text and web mining deserves ...
Contents
3 | |
TEXT AND WEB MINING | 15 |
DECISION SUPPORT | 23 |
INTEGRATION OF DATA MINING AND DECISION | 37 |
COLLABORATION IN A DATA MINING VIRTUAL | 49 |
DATA MINING PROCESSES AND COLLABORATION | 63 |
AN INTRODUCTION | 80 |
SUPPORTING | 91 |
MINING 21 YEARS OF | 142 |
ANALYSIS OF A DATABASE OF RESEARCH PROJECTS | 157 |
WEB SITE ACCESS ANALYSIS FOR A NATIONAL | 167 |
FIVE DECISION SUPPORT APPLICATIONS | 177 |
COLLABORATIVE DATA MINING WITH RAMSYS | 215 |
LESSONS LEARNED FROM DATA MINING DECISION | 237 |
A KNOWLEDGE | 247 |
ACADEMIABUSINESS PARTNERSHIP MODELS | 261 |
PREPROCESSING FOR DATA MINING AND DECISION | 107 |
DATA MINING AND DECISION SUPPORT INTEGRATION | 118 |
APPLICATIONS OF DATA MINING | 131 |
Subject index 271 | 270 |
Other editions - View all
Data Mining and Decision Support: Integration and Collaboration Dunja Mladenic,Nada Lavrač,Marko Bohanec,Steve Moyle No preview available - 2012 |