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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
145
Voted
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-...
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
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, ...