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» Efficient pattern matching over event streams
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CIKM
2009
Springer
13 years 11 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
IJCAI
1993
13 years 9 months ago
Situation Recognition: Representation and Algorithms
The situation recognition system, to which this paper is devoted, receives as input a stream of time-stamped events; it performs recognition of instances of occurring situations, ...
Christophe Dousson, Paul Gaborit, Malik Ghallab
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 7 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
ICDE
2007
IEEE
123views Database» more  ICDE 2007»
14 years 9 months ago
Stream Monitoring under the Time Warping Distance
The goal of this paper is to monitor numerical streams, and to find subsequences that are similar to a given query sequence, under the DTW (Dynamic Time Warping) distance. Applica...
Yasushi Sakurai, Christos Faloutsos, Masashi Yamam...
ICDE
2003
IEEE
149views Database» more  ICDE 2003»
14 years 9 months ago
Indexing Weighted-Sequences in Large Databases
We present an index structure for managing weightedsequences in large databases. A weighted-sequence is defined as a two-dimensional structure where each element in the sequence i...
Haixun Wang, Chang-Shing Perng, Wei Fan, Sanghyun ...