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» Data Stream Clustering: Challenges and Issues
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PAKDD
2009
ACM
72views Data Mining» more  PAKDD 2009»
14 years 2 months ago
A Multi-resolution Approach for Atypical Behaviour Mining
Atypical behaviours are the basis of a valuable knowledge in domains related to security (e.g. fraud detection for credit card [1], cyber security [4] or safety of critical systems...
Alice Marascu, Florent Masseglia
TDP
2010
140views more  TDP 2010»
13 years 2 months ago
Movement Data Anonymity through Generalization
In recent years, spatio-temporal and moving objects databases have gained considerable interest, due to the diffusion of mobile devices (e.g., mobile phones, RFID devices and GPS ...
Anna Monreale, Gennady L. Andrienko, Natalia V. An...
ITIIS
2010
137views more  ITIIS 2010»
13 years 6 months ago
Improving the Availability of Scalable on-demand Streams by Dynamic Buffering on P2P Networks
In peer-to-peer (P2P) on-demand streaming networks, the alleviation of server load depends on reciprocal stream sharing among peers. In general, on-demand video services enable cl...
Chow-Sing Lin
BMCBI
2005
112views more  BMCBI 2005»
13 years 7 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
CIKM
2011
Springer
12 years 7 months ago
Emerging topic detection using dictionary learning
Streaming user-generated content in the form of blogs, microblogs, forums, and multimedia sharing sites, provides a rich source of data from which invaluable information and insig...
Shiva Prasad Kasiviswanathan, Prem Melville, Arind...