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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... inductive logic programming , with applications in various scientific domains . He has co - authored over 50 publications in these areas . Marko Bohanec ( marko.bohanec@ijs.si ) is a senior researcher at Jožef Stefan Institute ...
... programming . Peter Flach ( Peter.Flach@bristol.ac.uk ) is Reader in Machine Learning at the Department of Computer Science at the University of Bristol , UK . His research interests include machine learning , inductive logic programming ...
... inductive logic programming , and intelligent data analysis in medicine . She is a co - author and co - editor of several books , including Inductive Logic Programming : Techniques and Applications , Ellis Horwood , 1994 , and co ...
... logic meets artificial intelligence : machine learning , inductive logic programming and multi- agent systems . She has co - authored six textbooks in Czech , and co - edited three volumes published by Springer . Ljupčo Todorovski ...
... inductive logic programming and constraint satisfaction systems . BASIC TECHNOLOGIES Edited by Dunja Mladenić Chapter 1 DATA MINING Data mining and decision support xxiii.
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 |