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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 10 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
AUSDM
2007
Springer
131views Data Mining» more  AUSDM 2007»
14 years 4 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
COMPSAC
2004
IEEE
14 years 1 months ago
Efficient Partial Multiple Periodic Patterns Mining without Redundant Rules
Partial periodic patterns mining is a very interesting domain in data mining problem. In the previous studies, full and partial multiple periodic patterns mining problems are cons...
Wenpo Yang, Guanling Lee
NLUCS
2004
13 years 11 months ago
A Text Mining Approach to Tracking Elements of Decision Making: a pilot study
Understanding rework, the causes of rework, and the relationship between issues, decisions and the associated actions, is crucial in minimizing the fundamental industrial problems ...
Caroline Chibelushi, Bernadette Sharp, Andy Salter
ICDT
2009
ACM
119views Database» more  ICDT 2009»
14 years 10 months ago
Analysis of sampling techniques for association rule mining
In this paper, we present a comprehensive theoretical analysis of the sampling technique for the association rule mining problem. Most of the previous works have concentrated only...
Venkatesan T. Chakaravarthy, Vinayaka Pandit, Yogi...