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
... Slovenia . Her research interests include machine learning , relational data mining , inductive logic programming , and intelligent data analysis in medicine . She is a co - author and co - editor of several books , including Inductive ...
... Slovenia . He is also a research fellow at the Department of Intelligent Systems , Jožef Stefan Institute , Ljubljana , Slovenia . His research focuses on information systems and artificial intelligence methods for supporting decision ...
... Slovenia . Her research focuses on machine learning and data mining , with applications to linguistic rule discovery and business problems . Olga Štěpánková ( step@labe.felk.cvut.cz ) is Vice - head of the Department of Cybernetics ...
... Slovenia reads the daily newspaper EN ( Evening News , a newspaper published in Maribor , Slovenia ) is listed below . The overall accuracy ( the percentage of correct classifications ) of the induced if - then - else rule - set is 80 ...
... Slovenian yellow press daily newspaper SloN ( Slovenian News ) is listed below . if a person reads LSM ( Love Stories Magazine ) then a person reads SloN 3.2.2 support 3.5 % ( 3.5 % of the whole dataset population reads both LSM and ...
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 |