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» PRICES: An Efficient Algorithm for Mining Association Rules
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ICTAI
2003
IEEE
14 years 27 days ago
Parallel Mining of Maximal Frequent Itemsets from Databases
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
Soon Myoung Chung, Congnan Luo
ICDE
2008
IEEE
120views Database» more  ICDE 2008»
14 years 9 months ago
Direct Discriminative Pattern Mining for Effective Classification
The application of frequent patterns in classification has demonstrated its power in recent studies. It often adopts a two-step approach: frequent pattern (or classification rule) ...
Hong Cheng, Xifeng Yan, Jiawei Han, Philip S. Yu
SIGSOFT
2007
ACM
14 years 8 months ago
Mining API patterns as partial orders from source code: from usage scenarios to specifications
A software system interacts with third-party libraries through various APIs. Using these library APIs often needs to follow certain usage patterns. Furthermore, ordering rules (sp...
Mithun Acharya, Tao Xie, Jian Pei, Jun Xu
JSW
2008
99views more  JSW 2008»
13 years 7 months ago
Using Data Mining in MURA Graphic Problems
The MURA phenomenon will result lots of problems in Photomask and TFT-LCD industries as well. In this paper, we designed and developed a MURA related association rules which suitab...
Wen-Hsing Kao, Jason C. Hung, Victoria Hsu
CIKM
2004
Springer
14 years 1 months ago
Discovering frequently changing structures from historical structural deltas of unordered XML
Recently, a large amount of work has been done in XML data mining. However, we observed that most of the existing works focus on the snapshot XML data, while XML data is dynamic i...
Qiankun Zhao, Sourav S. Bhowmick, Mukesh K. Mohani...