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» Discovering Empirical Equations from Robot-Collected Data
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ICDCS
2002
IEEE
14 years 2 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
RSCTC
1998
Springer
175views Fuzzy Logic» more  RSCTC 1998»
14 years 2 months ago
Business Process Understanding: Mining Many Datasets
Abstract. Institutional databases can be instrumental in understanding a business process, but additional data may broaden the empirical perspective on the investigated process. We...
Jan M. Zytkow, Arun P. Sanjeev
ADC
2006
Springer
125views Database» more  ADC 2006»
14 years 1 months ago
A reconstruction-based algorithm for classification rules hiding
Data sharing between two organizations is common in many application areas e.g. business planing or marketing. Useful global patterns can be discovered from the integrated dataset...
Juggapong Natwichai, Xue Li, Maria E. Orlowska
HT
2010
ACM
14 years 2 months ago
Community-based ranking of the social web
The rise of social interactions on the Web requires developing new methods of information organization and discovery. To that end, we propose a generative community-based probabil...
Said Kashoob, James Caverlee, Krishna Kamath
HICSS
2010
IEEE
215views Biometrics» more  HICSS 2010»
14 years 4 months ago
Investigating the Drivers of the Continuous Use of Social Virtual Worlds
Social virtual worlds (SVWs) have become increasingly important environments for social interaction, especially for the younger generations. For SVWs to be economically sustainabl...
Matti Mäntymäki, Jani Merikivi