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PAKDD
2004
ACM
199views Data Mining» more  PAKDD 2004»
13 years 11 months ago
Temporal Sequence Associations for Rare Events
In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large da...
Jie Chen, Hongxing He, Graham J. Williams, Huidong...
PAKDD
2004
ACM
143views Data Mining» more  PAKDD 2004»
13 years 11 months ago
Compact Dual Ensembles for Active Learning
Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
Amit Mandvikar, Huan Liu, Hiroshi Motoda
PAKDD
2004
ACM
164views Data Mining» more  PAKDD 2004»
13 years 11 months ago
FP-Bonsai: The Art of Growing and Pruning Small FP-Trees
Abstract. In the context of mining frequent itemsets, numerous strategies have been proposed to push several types of constraints within the most well known algorithms. In this pap...
Francesco Bonchi, Bart Goethals
PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
13 years 11 months ago
Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models
This paper presents a new prediction model for predicting when an online customer leaves a current page and which next Web page the customer will visit. The model can forecast the ...
Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Mic...
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
13 years 11 months ago
Self-Similar Mining of Time Association Rules
Although the task of mining association rules has received considerable attention in the literature, algorithms to find time association rules are often inadequate, by either miss...
Daniel Barbará, Ping Chen, Zohreh Nazeri
Data Mining
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