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» Mining Regular Patterns in Data Streams
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VLDB
2006
ACM
190views Database» more  VLDB 2006»
14 years 10 months ago
Online summarization of dynamic time series data
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 10 months ago
GraphScope: parameter-free mining of large time-evolving graphs
How can we find communities in dynamic networks of social interactions, such as who calls whom, who emails whom, or who sells to whom? How can we spot discontinuity timepoints in ...
Jimeng Sun, Christos Faloutsos, Spiros Papadimitri...
AUSDM
2006
Springer
94views Data Mining» more  AUSDM 2006»
14 years 1 months ago
Marking Time in Sequence Mining
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
Carl Mooney, John F. Roddick
DATAMINE
2008
137views more  DATAMINE 2008»
13 years 10 months ago
Two heads better than one: pattern discovery in time-evolving multi-aspect data
Abstract. Data stream values are often associated with multiple aspects. For example, each value observed at a given time-stamp from environmental sensors may have an associated ty...
Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke,...
ICS
2000
Tsinghua U.
14 years 1 months ago
Hardware-only stream prefetching and dynamic access ordering
Memory system bottlenecks limit performance for many applications, and computations with strided access patterns are among the hardest hit. The streams used in such applications h...
Chengqiang Zhang, Sally A. McKee