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» Methods for finding frequent items in data streams
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JIIS
2008
133views more  JIIS 2008»
13 years 7 months ago
Maintaining frequent closed itemsets over a sliding window
In this paper, we study the incremental update of Frequent Closed Itemsets (FCIs) over a sliding window in a high-speed data stream. We propose the notion of semi-FCIs, which is to...
James Cheng, Yiping Ke, Wilfred Ng
ECRTS
2007
IEEE
14 years 2 months ago
Cache-Aware Timing Analysis of Streaming Applications
Of late, there has been a considerable interest in models, algorithms and methodologies specifically targeted towards designing hardware and software for streaming applications. ...
Samarjit Chakraborty, Tulika Mitra, Abhik Roychoud...
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
14 years 1 months ago
Discovering Frequent Arrangements of Temporal Intervals
In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements of temporal intervals. We assume that the database consists of sequences of even...
Panagiotis Papapetrou, George Kollios, Stan Sclaro...
AICCSA
2006
IEEE
218views Hardware» more  AICCSA 2006»
14 years 1 months ago
Performance Comparison of Pattern Discovery Methods on Web Log Data
One of the popular trends in computer science has been development of intelligent web-based systems. Demand for such systems forces designers to make use of knowledge discovery te...
Murat Ali Bayir, Ismail H. Toroslu, Ahmet Cosar
EDM
2009
116views Data Mining» more  EDM 2009»
13 years 5 months ago
Determining the Significance of Item Order In Randomized Problem Sets
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
Zachary A. Pardos, Neil T. Heffernan