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» Privacy and Data Mining: New Developments and Challenges
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KDD
2009
ACM
159views Data Mining» more  KDD 2009»
15 years 10 months ago
Adapting the right measures for K-means clustering
Clustering validation is a long standing challenge in the clustering literature. While many validation measures have been developed for evaluating the performance of clustering al...
Junjie Wu, Hui Xiong, Jian Chen
ACSAC
2001
IEEE
15 years 1 months ago
Temporal Signatures for Intrusion Detection
We introduce a new method for detecting intrusions based on the temporal behavior of applications. It builds on an existing method of application intrusion detection developed at ...
Anita Jones, Song Li
KDD
2004
ACM
143views Data Mining» more  KDD 2004»
15 years 10 months ago
Incremental maintenance of quotient cube for median
Data cube pre-computation is an important concept for supporting OLAP(Online Analytical Processing) and has been studied extensively. It is often not feasible to compute a complet...
Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wan...
KDD
2007
ACM
181views Data Mining» more  KDD 2007»
15 years 10 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain
CCR
2007
110views more  CCR 2007»
14 years 10 months ago
Future internet research and experimentation: the FIRE initiative
The research community worldwide has increasingly drawn its attention to the weaknesses of the current Internet. Many proposals are addressing the perceived problems, ranging from...
Anastasius Gavras, Arto Karila, Serge Fdida, Marti...