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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... chapter ( Chapter 2 of this volume ) . - - This chapter gives an informal introduction to data mining . Section 2 provides the background to data mining , Section 3 describes in a simplified manner - some data mining techniques that ...
... Chapter 6 ) defines the crucial steps of the knowledge discovery process . Although in most data mining projects , several iterations of individual steps or step sequences need to be performed these basic guidelines are very useful both ...
... Chapter 11 ) , a task of this type was defined by the following question : " Which other journals / magazines do readers of a particular journal / magazine read ? " As opposed to decision tree and rule set induction , such a question is ...
... Chapter 12. In addition to hierarchical clustering there are other well - known clustering methods . Among these , the K - Means method is one of the most popular . This method was applied in an application described in Chapter 11 . 4 ...
... Chapter 11 ) was to use a subset of this database - 8000 questionnaires available for 1998 - to answer some ... Chapter 11 . 4.2 The analysis of UK traffic accident data The UK. Figure 1-2 . A dendrogram , constructed through hierarchical ...
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 |