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» Real world performance of association rule algorithms
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CAINE
2008
14 years 11 months ago
Hierarchical Clustering of Features on Categorical Data of Biomedical Applications
Data mining became increasingly important in bioinformatics and biomedical area during last decade. Various data mining methods, such as association rule mining and clustering, ha...
Yi Lu, Lily R. Liang
DKE
2008
159views more  DKE 2008»
14 years 9 months ago
Isolated items discarding strategy for discovering high utility itemsets
Traditional methods of association rule mining consider the appearance of an item in a transaction, whether or not it is purchased, as a binary variable. However, customers may pu...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
MANSCI
2008
96views more  MANSCI 2008»
14 years 9 months ago
Staffing of Time-Varying Queues to Achieve Time-Stable Performance
Continuing research by Jennings, Mandelbaum, Massey and Whitt (1996), we investigate methods to perform time-dependent staffing for many-server queues. Our aim is to achieve time-...
Zohar Feldman, Avishai Mandelbaum, William A. Mass...
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
13 years 5 days ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
14 years 10 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan