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TKDE
2008
155views more  TKDE 2008»
9 years 11 months ago
Incremental Maintenance of Online Summaries Over Multiple Streams
We propose a novel approach based on predictive quantization (PQ) for online summarization of multiple time-varying data streams. A synopsis over a sliding window of most recent en...
Fatih Altiparmak, Ertem Tuncel, Hakan Ferhatosmano...
SSD
2007
Springer
150views Database» more  SSD 2007»
10 years 5 months ago
Online Amnesic Summarization of Streaming Locations
Abstract. Massive data streams of positional updates become increasingly difficult to manage under limited memory resources, especially in terms of providing near real-time respons...
Michalis Potamias, Kostas Patroumpas, Timos K. Sel...
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
10 years 5 months ago
STAGGER: Periodicity Mining of Data Streams Using Expanding Sliding Windows
Sensor devices are becoming ubiquitous, especially in measurement and monitoring applications. Because of the real-time, append-only and semi-infinite natures of the generated se...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
DASFAA
2010
IEEE
419views Database» more  DASFAA 2010»
10 years 6 months ago
Incremental Clustering for Trajectories
Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often rec...
Zhenhui Li, Jae-Gil Lee, Xiaolei Li, Jiawei Han
SIGKDD
2008
125views more  SIGKDD 2008»
9 years 11 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
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