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» Clustering Data Streams
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2008
13 years 4 months ago
Dynamic data assigning assessment clustering of streaming data
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Olga Georgieva, Frank Klawonn
ICDE
2003
IEEE
148views Database» more  ICDE 2003»
14 years 6 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
ICDE
2002
IEEE
146views Database» more  ICDE 2002»
14 years 6 months ago
Streaming-Data Algorithms for High-Quality Clustering
Streaming data analysis has recently attracted attention in numerous applications including telephone records, web documents and clickstreams. For such analysis, single-pass algor...
Liadan O'Callaghan, Adam Meyerson, Rajeev Motwani,...
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
12 years 7 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
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 5 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu