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AUSDM
2007
Springer
131views Data Mining» more  AUSDM 2007»
15 years 3 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
KDD
2008
ACM
243views Data Mining» more  KDD 2008»
15 years 9 months ago
Permu-pattern: discovery of mutable permutation patterns with proximity constraint
Pattern discovery in sequences is an important problem in many applications, especially in computational biology and text mining. However, due to the noisy nature of data, the tra...
Meng Hu, Jiong Yang, Wei Su
ICDE
2008
IEEE
120views Database» more  ICDE 2008»
15 years 10 months ago
Direct Discriminative Pattern Mining for Effective Classification
The application of frequent patterns in classification has demonstrated its power in recent studies. It often adopts a two-step approach: frequent pattern (or classification rule) ...
Hong Cheng, Xifeng Yan, Jiawei Han, Philip S. Yu
SDM
2004
SIAM
207views Data Mining» more  SDM 2004»
14 years 10 months ago
BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint
Previous study has shown that mining frequent patterns with length-decreasing support constraint is very helpful in removing some uninteresting patterns based on the observation t...
Jianyong Wang, George Karypis
ICDE
2009
IEEE
290views Database» more  ICDE 2009»
15 years 11 months ago
GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases
Graphs are being increasingly used to model a wide range of scientific data. Such widespread usage of graphs has generated considerable interest in mining patterns from graph datab...
Sayan Ranu, Ambuj K. Singh