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» Data Mining for Intrusion Detection: Techniques, Application...
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106
Voted
KDD
2008
ACM
213views Data Mining» more  KDD 2008»
16 years 1 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
EDBT
2000
ACM
15 years 4 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
112
Voted
ISVC
2005
Springer
15 years 6 months ago
Mining Paths of Complex Crowd Scenes
The Ambient Intelligence (AmI) paradigm requires a robust interpretation of people actions and behaviour and a way for automatically generating persistent spatial-temporal models o...
Beibei Zhan, Paolo Remagnino, Sergio A. Velastin
141
Voted
ICDCS
1999
IEEE
15 years 5 months ago
HiFi: A New Monitoring Architecture for Distributed Systems Management
With the increasing complexity of large-scale distributed (LSD) systems, an efficient monitoring mechanism has become an essential service for improving the performance and reliab...
Ehab S. Al-Shaer, Hussein M. Abdel-Wahab, Kurt Mal...
94
Voted
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
16 years 1 months ago
DiMaC: a disguised missing data cleaning tool
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei