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» Efficient Frequent Pattern Mining in Relational Databases
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ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
14 years 1 months ago
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
Yongge Wang, Xintao Wu
KDD
2005
ACM
122views Data Mining» more  KDD 2005»
14 years 8 months ago
Pattern lattice traversal by selective jumps
Regardless of the frequent patterns to discover, either the full frequent patterns or the condensed ones, either closed or maximal, the strategy always includes the traversal of t...
Osmar R. Zaïane, Mohammad El-Hajj
COMPSAC
2005
IEEE
13 years 9 months ago
A Novel Method for Protecting Sensitive Knowledge in Association Rules Mining
Discovering frequent patterns from huge amounts of data is one of the most studied problems in data mining. However, some sensitive patterns with security policies may cause a thr...
En Tzu Wang, Guanling Lee, Yu Tzu Lin
ADBIS
2004
Springer
133views Database» more  ADBIS 2004»
14 years 1 months ago
Evaluation of the Mine-Merge Method for Data Mining Query Processing
In this paper we consider concurrent execution of multiple data mining queries in the context of discovery of frequent itemsets. If such data mining queries operate on similar part...
Marek Wojciechowski, Maciej Zakrzewicz
PODS
2006
ACM
217views Database» more  PODS 2006»
14 years 7 months ago
A simpler and more efficient deterministic scheme for finding frequent items over sliding windows
In this paper, we give a simple scheme for identifying approximate frequent items over a sliding window of size n. Our scheme is deterministic and does not make any assumption on ...
Lap-Kei Lee, H. F. Ting