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» Efficient Frequent Pattern Mining in Relational Databases
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WWW
2005
ACM
14 years 8 months ago
XAR-miner: efficient association rules mining for XML data
In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently. In XAR-Miner, raw data in the XML document are first preprocessed to transf...
Sheng Zhang, Ji Zhang, Han Liu, Wei Wang
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
FEGC
2009
86views Biometrics» more  FEGC 2009»
13 years 5 months ago
Binary Sequences and Association Graphs for Fast Detection of Sequential Patterns
We develop an efficient algorithm for detecting frequent patterns that occur in sequence databases under certain constraints. By combining the use of bit vector representations of ...
Selim Mimaroglu, Dan A. Simovici
ICDM
2003
IEEE
160views Data Mining» more  ICDM 2003»
14 years 1 months ago
Indexing and Mining Free Trees
Tree structures are used extensively in domains such as computational biology, pattern recognition, computer networks, and so on. In this paper, we present an indexing technique f...
Yun Chi, Yirong Yang, Richard R. Muntz
IFIP12
2007
13 years 9 months ago
Clustering Improves the Exploration of Graph Mining Results
Mining frequent subgraphs is an area of research where we have a given set of graphs, and where we search for (connected) subgraphs contained in many of these graphs. Each graph ca...
Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters