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
Integration and Collaboration Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle. Chapter 1 DATA MINING Nada Lavrač and Marko Grobelnik Abstract : This chapter gives an informal introduction to data mining , an area that grew into a ...
Integration and Collaboration Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle. Numerous data mining methods exist , including predictive data mining methods , which typically result in models that can be used for prediction and ...
Integration and Collaboration Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle. received a data table as a result . The major difference between both OLTP and OLAP is the average number of records accessed per typical operation ...
Integration and Collaboration Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle. Most of the available tools are capable of mining data in tabular format , describing the dataset in terms of a fixed collection of attributes ...
Integration and Collaboration Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle. 4.2 The analysis of UK traffic accident data The UK traffic accident data , available in the Personal Injury Road Accident Database for 1979 to 1999 ...
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 |