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BALT
2006
13 years 8 months ago
Introducing Softness into Inductive Queries on String Databases
In many application domains (e.g., WWW mining, molecular biology), large string datasets are available and yet under-exploited. The inductive database framework assumes that both s...
Ieva Mitasiunaite, Jean-François Boulicaut
EDBT
2009
ACM
170views Database» more  EDBT 2009»
13 years 8 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
KDID
2003
93views Database» more  KDID 2003»
13 years 6 months ago
A Framework for Frequent Sequence Mining under Generalized Regular Expression Constraints
This paper provides a framework for the extraction of frequent sequences satisfying a given regular expression (RE) constraint. We take advantage of the information contained in th...
Hunor Albert-Lorincz, Jean-François Boulica...
CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 2 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat