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» Tight results for clustering and summarizing data streams
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177
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ICDT
2009
ACM
148views Database» more  ICDT 2009»
15 years 10 months ago
Tight results for clustering and summarizing data streams
In this paper we investigate algorithms and lower bounds for summarization problems over a single pass data stream. In particular we focus on histogram construction and K-center c...
Sudipto Guha
149
Voted
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
15 years 11 months ago
Cluster Hull: A Technique for Summarizing Spatial Data Streams
John Hershberger, Nisheeth Shrivastava, Subhash Su...
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
13 years 1 days ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
JEA
2008
70views more  JEA 2008»
14 years 9 months ago
Summarizing spatial data streams using ClusterHulls
John Hershberger, Nisheeth Shrivastava, Subhash Su...
SAC
2009
ACM
15 years 4 months ago
Parameterless outlier detection in data streams
Outlyingness is a subjective concept relying on the isolation level of a (set of) record(s). Clustering-based outlier detection is a field that aims to cluster data and to detect...
Alice Marascu, Florent Masseglia