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CORR
2008
Springer
127views Education» more  CORR 2008»
13 years 10 months ago
A Very Efficient Scheme for Estimating Entropy of Data Streams Using Compressed Counting
Compressed Counting (CC) was recently proposed for approximating the th frequency moments of data streams, for 0 < 2. Under the relaxed strict-Turnstile model, CC dramaticall...
Ping Li
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
14 years 11 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
CIKM
2004
Springer
14 years 3 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
ICEBE
2005
IEEE
168views Business» more  ICEBE 2005»
14 years 3 months ago
Frequency Operators for Condensative Queries over Data Streams
Over a traditional Database Management System (DBMS), the answer to an aggregate query is usually much smaller than the answer to a similar nonaggregate query. Therefore, we call ...
Lisha Ma, Werner Nutt
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 10 months ago
A Model-Based Frequency Constraint for Mining Associations from Transaction Data
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...
Michael Hahsler