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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... DATA MINING Steve Moyle , Marko Bohanec , and Eric ... MODELS AND E - COLLABORATION LESSONS LEARNED Nada Lavrač and Tanja Urbančič 261 Subject index 271 Preface The main aim of this book is to present Data mining and decision support vii.
... consultancy concerning the principal - agent theory and Andrej Orel for the collaboration in studying IPR issues and virtual enterprise models . Foreword The area of data mining is concerned with the xii Data mining and decision support.
... data mining / decision making requires including the state - of - the art data mining methods and tools but also a methodology ... models and testimonies of practical collaboration experiences of business ... Data mining and decision support.
... data mining , methods for adaptive interactive systems , information extraction and models of human learning . Jan Struyf ( Jan.Struyf@cs.kuleuven.ac.be ) is a research assistant at the Fund for Scientific Research of Flanders and a ...
... data mining methods exist , including predictive data mining methods , which typically result in models that can be used for prediction and classification , and descriptive data mining methods which can be used for exploratory data ...
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 |