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» Tight results for clustering and summarizing data streams
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ICDT
2009
ACM
148views Database» more  ICDT 2009»
10 years 4 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
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
10 years 5 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»
7 years 6 months 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»
9 years 3 months ago
Summarizing spatial data streams using ClusterHulls
John Hershberger, Nisheeth Shrivastava, Subhash Su...
SAC
2009
ACM
9 years 10 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
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