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» When to Update the sequential patterns of stream data
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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
14 years 1 months ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
JUCS
2006
116views more  JUCS 2006»
13 years 6 months ago
Extension of CQL over Dynamic Databases
: CQL, Continuous Query Language is suitable for data stream queries. Sometimes it is better if the queries operate on relational databases and data streams simultaneously. The exe...
Antal Buza
ICML
2007
IEEE
14 years 7 months ago
Supervised clustering of streaming data for email batch detection
We address the problem of detecting batches of emails that have been created according to the same template. This problem is motivated by the desire to filter spam more effectivel...
Peter Haider, Ulf Brefeld, Tobias Scheffer
PVLDB
2010
134views more  PVLDB 2010»
13 years 5 months ago
High-Performance Dynamic Pattern Matching over Disordered Streams
Current pattern-detection proposals for streaming data recognize the need to move beyond a simple regular-expression model over strictly ordered input. We continue in this directi...
Badrish Chandramouli, Jonathan Goldstein, David Ma...
ICDE
2010
IEEE
226views Database» more  ICDE 2010»
14 years 6 months ago
Approximation Trade-Offs in Markovian Stream Processing: An Empirical Study
Abstract-- A large amount of the world's data is both sequential and imprecise. Such data is commonly modeled as Markovian streams; examples include words/sentences inferred f...
Julie Letchner, Christopher Re, Magdalena Balazins...