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» Discovering and Processing Sequential Patterns in Databases
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KDID
2004
121views Database» more  KDID 2004»
13 years 6 months ago
Constraint Relaxations for Discovering Unknown Sequential Patterns
The main drawbacks of sequential pattern mining have been its lack of focus on user expectations and the high number of discovered patterns. However, the solution commonly accepted...
Cláudia Antunes, Arlindo L. Oliveira
VLDB
1999
ACM
188views Database» more  VLDB 1999»
13 years 9 months ago
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
Discovering sequential patterns is an important problem in data mining with a host of application domains including medicine, telecommunications, and the World Wide Web. Conventio...
Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim
ESWA
2006
139views more  ESWA 2006»
13 years 5 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee
TKDE
2008
218views more  TKDE 2008»
13 years 5 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...