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» Mining Complete Hybrid Sequential Patterns
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HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
13 years 9 months ago
Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
Ming-Yen Lin, Suh-Yin Lee
JCP
2006
139views more  JCP 2006»
13 years 4 months ago
Generalized Sequential Pattern Mining with Item Intervals
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
Yu Hirate, Hayato Yamana
TKDE
2008
218views more  TKDE 2008»
13 years 4 months ago
A General Model for Sequential Pattern Mining with a Progressive Database
Although there have been many recent studies on the mining of sequential patterns in a static database and in a database with increasing data, these works, in general, do not fully...
Jen-Wei Huang, Chi-Yao Tseng, Jian Chih Ou, Ming-S...
AMW
2009
13 years 5 months ago
Temporal Support in Sequential Pattern Mining
In sequential pattern discovery, the support of a sequence is computed as the number of data-sequences satisfying a pattern with respect to the total number of data-sequences in th...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...
ICDM
2007
IEEE
169views Data Mining» more  ICDM 2007»
13 years 8 months ago
Efficient Discovery of Frequent Approximate Sequential Patterns
We propose an efficient algorithm for mining frequent approximate sequential patterns under the Hamming distance model. Our algorithm gains its efficiency by adopting a "brea...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu