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» Mining Frequent Itemsets from Uncertain Data
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ICMCS
2006
IEEE
344views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Pattern Mining in Visual Concept Streams
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
Lexing Xie, Shih-Fu Chang
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 8 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
LWA
2008
13 years 9 months ago
Pre analysis and clustering of uncertain data from manufacturing processes
With increasing complexity of manufacturing processes, the volume of data that has to be evaluated rises accordingly. The complexity and data volume make any kind of manual data a...
Peter Benjamin Volk, Martin Hahmann, Dirk Habich, ...
IS
2007
13 years 7 months ago
Discovering frequent geometric subgraphs
As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the req...
Michihiro Kuramochi, George Karypis
ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
14 years 1 months ago
Privacy-Preserving Frequent Pattern Mining across Private Databases
Privacy consideration has much significance in the application of data mining. It is very important that the privacy of individual parties will not be exposed when data mining te...
Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Ke Wang