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FIMI
2003
170views Data Mining» more  FIMI 2003»
13 years 6 months ago
kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets
This paper presents the implementation of kDCI, an enhancement of DCI [10], a scalable algorithm for discovering frequent sets in large databases. The main contribution of kDCI re...
Salvatore Orlando, Claudio Lucchese, Paolo Palmeri...
ICDM
2006
IEEE
134views Data Mining» more  ICDM 2006»
13 years 11 months ago
Fast Frequent Free Tree Mining in Graph Databases
Free tree, as a special graph which is connected, undirected and acyclic, is extensively used in domains such as computational biology, pattern recognition, computer networks, XML...
Peixiang Zhao, Jeffrey Xu Yu
ICDE
2006
IEEE
222views Database» more  ICDE 2006»
14 years 6 months ago
CLAN: An Algorithm for Mining Closed Cliques from Large Dense Graph Databases
Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...
Jianyong Wang, Zhiping Zeng, Lizhu Zhou
WAIM
2010
Springer
13 years 3 months ago
Mining Contrast Inequalities in Numeric Dataset
Finding relational expressions which exist frequently in one class of data while not in the other class of data is an interesting work. In this paper, a relational expression of th...
Lei Duan, Jie Zuo, Tianqing Zhang, Jing Peng, Jie ...
RCIS
2010
13 years 3 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu