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2002 IEEE International Conference on Data Mining, 2002. Proceedings. (2002)
Maebashi City, Japan
Dec. 9, 2002 to Dec. 12, 2002
ISBN: 0-7695-1754-4
pp: 514
Yabo Xu , Chinese University of Hong Kong
Jeffrey Xu Yu , Chinese University of Hong Kong
Guimei Liu , Hong Kong University of Science and Technology
Hongjun Lu , Hong Kong University of Science and Technology
ABSTRACT
In this paper, we propose a new framework for mining frequent patterns from large transactional databases. The core of the framework is of a novel coded prefix-path tree with two representations, namely, a memory-based prefix-path tree and a disk-based prefix-path tree. The disk-based prefix-path tree is simple in its data structure yet rich in information contained, and is small in size. The memory-based prefix-path tree is simple and compact. Upon the memory-based prefix-path tree, a new depth-first frequent pattern discovery algorithm, called P P-Mine, is proposed in this paper that outperforms FP-growth significantly. The memory-based prefix-path tree can be stored on disk using a disk-based prefix-path tree with assistance of the new coding scheme. We present efficient loading algorithms to load the minimal required disk-based prefix-path tree into main memory. Our technique is to push constraints into the loading process, which has not been well studied yet.
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CITATION

J. X. Yu, H. Lu, G. Liu and Y. Xu, "From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns," 2002 IEEE International Conference on Data Mining, 2002. Proceedings.(ICDM), Maebashi City, Japan, 2002, pp. 514.
doi:10.1109/ICDM.2002.1183996
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