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» On compressing frequent patterns
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KDD
2006
ACM
147views Data Mining» more  KDD 2006»
16 years 4 months ago
Summarizing itemset patterns using probabilistic models
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
Chao Wang, Srinivasan Parthasarathy
FIMI
2003
210views Data Mining» more  FIMI 2003»
15 years 5 months ago
COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
Osmar R. Zaïane, Mohammad El-Hajj
ISCI
2007
123views more  ISCI 2007»
15 years 3 months ago
Mining spatial association rules in image databases
In this paper, we propose a novel spatial mining algorithm, called 9DLT-Miner, to mine the spatial association rules from an image database, where every image is represented by th...
Anthony J. T. Lee, Ruey-Wen Hong, Wei-Min Ko, Wen-...
162
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FQAS
2004
Springer
146views Database» more  FQAS 2004»
15 years 7 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
110
Voted
DCC
2007
IEEE
16 years 3 months ago
Simple Linear-Time Off-Line Text Compression by Longest-First Substitution
We consider grammar based text compression with longest first substitution, where non-overlapping occurrences of a longest repeating substring of the input text are replaced by a ...
Ryosuke Nakamura, Hideo Bannai, Shunsuke Inenaga, ...