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» Discovering and Processing Sequential Patterns in Databases
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CORR
2010
Springer
219views Education» more  CORR 2010»
14 years 9 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor
EDBT
2009
ACM
170views Database» more  EDBT 2009»
15 years 1 months ago
Efficient constraint evaluation in categorical sequential pattern mining for trajectory databases
The classic Generalized Sequential Patterns (GSP) algorithm returns all frequent sequences present in a database. However, usually a few ones are interesting from a user's po...
Leticia I. Gómez, Alejandro A. Vaisman
BDA
2000
14 years 11 months ago
Incremental Mining of Sequential Patterns in Large Databases
In this paper we consider the problem of the incremental mining of sequential patterns when new transactions or new customers are added to an original database. We present a new a...
Florent Masseglia, Pascal Poncelet, Maguelonne Tei...
DASFAA
2007
IEEE
220views Database» more  DASFAA 2007»
15 years 4 months 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
INFOSCALE
2007
ACM
14 years 11 months ago
Exploring lattice structures in mining multi-domain sequential patterns
— Since sequential patterns may exist in multiple sequence databases, we propose algorithm PropagatedMine+ to efficiently discover multi-domain sequential patterns. Prior works ...
Zhung-Xun Liao, Wen-Chih Peng