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» Online summarization of dynamic time series data
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DAWAK
2004
Springer
15 years 2 months ago
Mining Maximal Frequently Changing Subtree Patterns from XML Documents
Abstract. Due to the dynamic nature of online information, XML documents typically evolve over time. The change of the data values or structures of an XML document may exhibit some...
Ling Chen 0002, Sourav S. Bhowmick, Liang-Tien Chi...
RAID
2009
Springer
15 years 4 months ago
Autonomic Intrusion Detection System
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
Wei Wang 0012, Thomas Guyet, Svein J. Knapskog
COMPGEOM
2000
ACM
15 years 1 months ago
Kinetic connectivity for unit disks
We describe a kinetic data structure (KDS) that maintains the connected components of the union of a set of unit-radius disks moving in the plane. We assume that the motion of eac...
Leonidas J. Guibas, John Hershberger, Subhash Suri...
VLDB
2004
ACM
100views Database» more  VLDB 2004»
15 years 2 months ago
Resilient Rights Protection for Sensor Streams
Today’s world of increasingly dynamic computing environments naturally results in more and more data being available as fast streams. Applications such as stock market analysis,...
Radu Sion, Mikhail J. Atallah, Sunil Prabhakar
JMLR
2012
12 years 12 months ago
Maximum Margin Temporal Clustering
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
Minh Hoai Nguyen, Fernando De la Torre