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» A hybrid approach to mining frequent sequential patterns
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JIIS
2007
154views more  JIIS 2007»
13 years 7 months ago
Constraint-based sequential pattern mining: the pattern-growth methods
Constraints are essential for many sequential pattern mining applications. However, there is no systematic study on constraint-based sequential pattern mining. In this paper, we in...
Jian Pei, Jiawei Han, Wei Wang
PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
JDCTA
2010
225views more  JDCTA 2010»
13 years 2 months ago
Multi-Level Weighted Sequential Pattern Mining Based on Prime Encoding
Encoding can express the hierarchical relationship in the area of mining the multi-level sequential pattern, up to now all the algorithms of which find frequent sequences just acc...
Yun Li, Lianglei Sun, Jiang Yin, Wenyan Bao, Mengy...
ROBOCUP
2005
Springer
151views Robotics» more  ROBOCUP 2005»
14 years 1 months ago
Sequential Pattern Mining for Situation and Behavior Prediction in Simulated Robotic Soccer
Agents in dynamic environments have to deal with world rep- To appear in: RoboCup 2005: Robot Soccer World Cup IX, c Springer-Verlag, 2006 resentations that change over time. In or...
Andreas D. Lattner, Andrea Miene, Ubbo Visser, Ott...
CIKM
2004
Springer
14 years 1 months ago
Scalable sequential pattern mining for biological sequences
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...
Ke Wang, Yabo Xu, Jeffrey Xu Yu