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» Processing Sequential Patterns in Relational Databases
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DASFAA
2007
IEEE
220views Database» more  DASFAA 2007»
14 years 13 hour ago
LAPIN: Effective Sequential Pattern Mining Algorithms by Last Position Induction for Dense Databases
Sequential pattern mining is very important because it is the basis of many applications. Although there has been a great deal of effort on sequential pattern mining in recent year...
Zhenglu Yang, Yitong Wang, Masaru Kitsuregawa
HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
13 years 11 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
ADBIS
2001
Springer
115views Database» more  ADBIS 2001»
13 years 10 months ago
Interactive Constraint-Based Sequential Pattern Mining
Data mining is an interactive and iterative process. It is very likely that a user will execute a series of similar queries differing in pattern constraints and mining parameters,...
Marek Wojciechowski
ICDE
2005
IEEE
176views Database» more  ICDE 2005»
13 years 11 months ago
LAPIN-SPAM: An Improved Algorithm for Mining Sequential Pattern
Sequence pattern mining is an important research problem because it is the basis of many other applications. Yet how to efficiently implement the mining is difficult due to the ...
Zhenglu Yang, Masaru Kitsuregawa
KDD
1998
ACM
183views Data Mining» more  KDD 1998»
13 years 10 months ago
Mining Generalized Association Rules and Sequential Patterns Using SQL Queries
Database integration of mining is becoming increasingly important with tile installation of larger and larger data warehouses built around relational database technology. Most of ...
Shiby Thomas, Sunita Sarawagi