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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
KDD
2005
ACM
92views Data Mining» more  KDD 2005»
14 years 8 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin
PAKDD
2009
ACM
87views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Application-Independent Feature Construction from Noisy Samples
When training classifiers, presence of noise can severely harm their performance. In this paper, we focus on “non-class” attribute noise and we consider how a frequent fault-t...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...
ICDM
2002
IEEE
131views Data Mining» more  ICDM 2002»
14 years 13 days ago
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real us...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...
DAWAK
2004
Springer
14 years 27 days ago
Mining Periodic Patterns in Sequence Data
Abstract. Periodic pattern mining is the problem that regards temporal regularity. There are many emerging applications in periodic pattern mining, including web usage recommendati...
Kuo-Yu Huang, Chia-Hui Chang