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SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
14 years 11 months ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
AINA
2008
IEEE
14 years 11 months ago
A Communication-Efficient Distributed Clustering Algorithm for Sensor Networks
Sensor networks usually generate continuous stream of data over time. Clustering sensor data as a core task of mining sensor data plays an essential role in analytical application...
Amirhosein Taherkordi, Reza Mohammadi, Frank Elias...
RAID
1999
Springer
15 years 1 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo
157
Voted
AISADM
2007
Springer
15 years 3 months ago
Emotional Cognitive Agents with Adaptive Ontologies
An unsolved problem in AIS is adaptive ontologies. Semantic Web requires flexible ontologies adaptive to user needs and to Web contents. The paper describes emotional intelligent a...
Leonid I. Perlovsky
84
Voted
RSFDGRC
2005
Springer
126views Data Mining» more  RSFDGRC 2005»
15 years 3 months ago
Rough Sets and Higher Order Vagueness
Abstract. We present a rough set approach to vague concept approximation within the adaptive learning framework. In particular, the role of extensions of approximation spaces in se...
Andrzej Skowron, Roman W. Swiniarski