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AUSDM
2007
Springer
131views Data Mining» more  AUSDM 2007»
13 years 11 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
FIMI
2004
175views Data Mining» more  FIMI 2004»
13 years 6 months ago
CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
Yudho Giri Sucahyo, Raj P. Gopalan
SDM
2004
SIAM
271views Data Mining» more  SDM 2004»
13 years 6 months ago
A Foundational Approach to Mining Itemset Utilities from Databases
Most approaches to mining association rules implicitly consider the utilities of the itemsets to be equal. We assume that the utilities of itemsets may differ, and identify the hi...
Hong Yao, Howard J. Hamilton, Cory J. Butz
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 4 months ago
A Model-Based Frequency Constraint for Mining Associations from Transaction Data
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...
Michael Hahsler
ESEM
2007
ACM
13 years 6 months ago
Mining Software Evolution to Predict Refactoring
Can we predict locations of future refactoring based on the development history? In an empirical study of open source projects we found that attributes of software evolution data ...
Jacek Ratzinger, Thomas Sigmund, Peter Vorburger, ...