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KDD
1998
ACM
145views Data Mining» more  KDD 1998»
14 years 1 months ago
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
Evan W. Steeg, Derek A. Robinson, Ed Willis
CLA
2007
13 years 10 months ago
ZART: A Multifunctional Itemset Mining Algorithm
Abstract. In this paper, we present and detail a multifunctional itemset mining algorithm called Zart, which is based on the Pascal algorithm. Zart shows a number of additional fea...
Laszlo Szathmary, Amedeo Napoli, Sergei O. Kuznets...
PKDD
1998
Springer
113views Data Mining» more  PKDD 1998»
14 years 1 months ago
Text Mining at the Term Level
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
Ronen Feldman, Moshe Fresko, Yakkov Kinar, Yehuda ...
AUSDM
2007
Springer
161views Data Mining» more  AUSDM 2007»
14 years 3 months ago
A Case Study of Failure Mode Analysis with Text Mining Methods
The maintenance dataset provided by SunWater contains information about failed assets also known as components and their corresponding failure modes. Currently, extraction of this...
Lin Chen, Richi Nayak
ICDM
2007
IEEE
121views Data Mining» more  ICDM 2007»
14 years 3 months ago
ORIGAMI: Mining Representative Orthogonal Graph Patterns
In this paper, we introduce the concept of α-orthogonal patterns to mine a representative set of graph patterns. Intuitively, two graph patterns are α-orthogonal if their simila...
Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, J&e...