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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... database systems , uncertainty processing , object - oriented design and programming , and formal design of software systems . He is the ( co- ) author of more than 50 publications in these fields . Darek Krzywania ( darek.krzywania@cs ...
... Databases ( PKDD - 99 ) , Springer 1999 . Simon Rawles ( rawles@cs.bris.ac.uk ) is a student at the Machine Learning Group at the University of Bristol , United Kingdom . His research is concerned with the use of object orientation in ...
... database technology and data warehouses , statistics , machine learning , pattern recognition and soft computing , text and web mining , and visualization . Some of these areas are explained below . — - Database technology and data ...
... database industry to deliver solutions enhancing the traditional solutions based upon data management and reporting . Existing core database technology was able to solve the basic data management issues like how to deal with the data in ...
... database in a non - predefined way . What is the role of data mining in the above framework ? While typical ... databases . Next , the results of the analysis need to be represented in an appropriate way , usually human understandable ...
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 |