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» Finding frequent items in data streams
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ESA
2005
Springer
107views Algorithms» more  ESA 2005»
13 years 11 months ago
Workload-Optimal Histograms on Streams
Histograms are used in many ways in conventional databases and in data stream processing for summarizing massive data distributions. Previous work on constructing histograms on da...
S. Muthukrishnan, Martin Strauss, X. Zheng
PODS
2005
ACM
128views Database» more  PODS 2005»
14 years 5 months ago
Operator placement for in-network stream query processing
In sensor networks, data acquisition frequently takes place at lowcapability devices. The acquired data is then transmitted through a hierarchy of nodes having progressively incre...
Utkarsh Srivastava, Kamesh Munagala, Jennifer Wido...
JCIT
2010
174views more  JCIT 2010»
13 years 17 days ago
Efficient Ming of Top-K Closed Sequences
Sequence mining is an important data mining task. In order to retrieve interesting sequences from a large database, a minimum support threshold is needed to be specified. Unfortun...
Panida Songram
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 6 months ago
Support envelopes: a technique for exploring the structure of association patterns
This paper introduces support envelopes--a new tool for analyzing association patterns--and illustrates some of their properties, applications, and possible extensions. Specifical...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar
ICMCS
2009
IEEE
199views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Association rule mining in multiple, multidimensional time series medical data
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
Gaurav N. Pradhan, B. Prabhakaran