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» Mining Frequent Patterns with Counting Inference
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AUSDM
2007
Springer
131views Data Mining» more  AUSDM 2007»
14 years 1 months ago
A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets
Mining High Utility Itemsets from a transaction database is to find itemsests that have utility above a user-specified threshold. This problem is an extension of Frequent Itemset ...
Alva Erwin, Raj P. Gopalan, N. R. Achuthan
CORR
2008
Springer
114views Education» more  CORR 2008»
13 years 7 months ago
Temporal Support of Regular Expressions in Sequential Pattern Mining
Classic algorithms for sequential pattern discovery, return all frequent sequences present in a database. Since, in general, only a few ones are interesting from a user's poin...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...
ICDE
2005
IEEE
176views Database» more  ICDE 2005»
14 years 1 months ago
LAPIN-SPAM: An Improved Algorithm for Mining Sequential Pattern
Sequence pattern mining is an important research problem because it is the basis of many other applications. Yet how to efficiently implement the mining is difficult due to the ...
Zhenglu Yang, Masaru Kitsuregawa
AMW
2009
13 years 8 months ago
Temporal Support in Sequential Pattern Mining
In sequential pattern discovery, the support of a sequence is computed as the number of data-sequences satisfying a pattern with respect to the total number of data-sequences in th...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 8 months ago
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Mohammed Javeed Zaki, Karam Gouda