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» Mining frequent itemsets in time-varying data streams
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ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
14 years 2 months ago
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
Yongge Wang, Xintao Wu
IDA
2008
Springer
13 years 8 months ago
Mining frequent items in a stream using flexible windows
We study the problem of finding frequent items in a continuous stream of itemsets. A new frequency measure is introduced, based on a flexible window length. For a given item, its ...
Toon Calders, Nele Dexters, Bart Goethals
ICDM
2010
IEEE
164views Data Mining» more  ICDM 2010»
13 years 6 months ago
On Finding Similar Items in a Stream of Transactions
While there has been a lot of work on finding frequent itemsets in transaction data streams, none of these solve the problem of finding similar pairs according to standard similar...
Andrea Campagna, Rasmus Pagh
ICDM
2006
IEEE
128views Data Mining» more  ICDM 2006»
14 years 2 months ago
delta-Tolerance Closed Frequent Itemsets
James Cheng, Yiping Ke, Wilfred Ng
MLDM
2005
Springer
14 years 2 months ago
Statistical Supports for Frequent Itemsets on Data Streams
Abstract. A statistical technique is developed for estimating the support of itemsets on data streams, regardless of the size of the data stored. This technique, which is computati...
Pierre-Alain Laur, Jean-Emile Symphor, Richard Noc...