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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... specific gravity . Decay estimates and specific gravity values obtained from disks at bolt ends were not included in the averages because these disks dried out more rapidly than the others , presumably becoming unfavorable substrates ...
... specific Live Birth Rates by Age of Mother , California Counties , 1983 20 III . General Fertility Rate , Total Fertility Rate , and Age - specific Live Birth Rates , California and United States , 1970-1984 23 IV . Percent Distribution ...
... specific planning. Aligning disease-specific activities with the 5-year NAPHS, especially during emergencies such as Covid19 for instance, provides an opportunity to capture specific emergency investment for the longer-term development ...
... specific arrest rates , the average ages of arrestees , and race - specific arrest rates are tabulated for Crime Index , violent crime , property crime , each Crime Index offense , and selected Part II offenses ( forgery and ...
... specific - heat values shown in this graph . Jaeger and Rosenbohm [ 4 ] claimed a small increase in the specific heat of the same sample of beryllium and several other hard metals after recent heating to higher temperatures . However ...
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 |