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KDD
2001
ACM
118views Data Mining» more  KDD 2001»
16 years 7 months ago
Infominer: mining surprising periodic patterns
In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considere...
Jiong Yang, Wei Wang 0010, Philip S. Yu
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 7 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason
KDD
2001
ACM
196views Data Mining» more  KDD 2001»
16 years 7 months ago
Efficient discovery of error-tolerant frequent itemsets in high dimensions
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
Cheng Yang, Usama M. Fayyad, Paul S. Bradley
KDD
2001
ACM
124views Data Mining» more  KDD 2001»
16 years 7 months ago
Tri-plots: scalable tools for multidimensional data mining
We focus on the problem of finding patterns across two large, multidimensional datasets. For example, given feature vectors of healthy and of non-healthy patients, we want to answ...
Agma J. M. Traina, Caetano Traina Jr., Spiros Papa...
KDD
2001
ACM
142views Data Mining» more  KDD 2001»
16 years 7 months ago
TreeDT: gene mapping by tree disequilibrium test
We introduce and evaluate TreeDT, a novel gene mapping method which is based on discovering and assessing tree-like patterns in genetic marker data. Gene mapping aims at discoveri...
Petteri Sevon, Hannu Toivonen, Vesa Ollikainen