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. |
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... Target Audience Different messages are appropriate for different audiences . When trying to reach too many groups with a message or strategy , it is possible to reach none . This bulletin helps to narrow the focus and improve chances of ...
... target zone . First , " rate of return bands " are constructed for foreign and domestic securities . The rateof ... target zone can be tested by observing whether domestic interest rates fall within the rate - of - return band . If they ...
... Target. Enzymes. Sung-Kun Kim1*, Ki Duk Park2* and Dong-Woo Lee3* 1Department of Natural Sciences, Northeastern State University, Broken Arrow, OK, United States, 2Brain Science Institute, Korea Institute of Science and Technology, Seoul ...
... target sheet Fish long term target sheet Skateboard long term target sheet Football long term target sheet 1 Football long term target sheet 2 KS4 long term target sheet 1 KS4 long term target sheet 2 Dinosaur short term target sheet ...
... target in mind to make sure you achieve it . At the end of a project you should check with your teacher that you have achieved your target . If you have , you can tick the box , and write in the date and the name of the project . Then ...
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 |