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» Tight results for clustering and summarizing data streams
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ICDE
2003
IEEE
148views Database» more  ICDE 2003»
14 years 7 months ago
Dynamic Clustering of Evolving Streams with a Single Pass
Stream data is common in many applications, e.g., stock quotes, merchandize sales record, system logs, etc.. It is of great importance to analyze these stream data. As one of the ...
Jiong Yang
AINA
2008
IEEE
13 years 7 months ago
A Communication-Efficient Distributed Clustering Algorithm for Sensor Networks
Sensor networks usually generate continuous stream of data over time. Clustering sensor data as a core task of mining sensor data plays an essential role in analytical application...
Amirhosein Taherkordi, Reza Mohammadi, Frank Elias...
ICDE
2009
IEEE
159views Database» more  ICDE 2009»
14 years 7 months ago
Sketch-Based Summarization of Ordered XML Streams
XML streams, such as RSS feeds or complex event streams, are becoming increasingly pervasive as they provide the foundation for a wide range of emerging applications. An important...
Veronica Mayorga, Neoklis Polyzotis
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
12 years 8 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
ICTAI
2009
IEEE
14 years 12 days ago
FlockStream: A Bio-Inspired Algorithm for Clustering Evolving Data Streams
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
Agostino Forestiero, Clara Pizzuti, Giandomenico S...