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» Efficient Frequent Pattern Mining in Relational Databases
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CAEPIA
2003
Springer
14 years 1 months ago
Text Mining Using the Hierarchical Syntactical Structure of Documents
One of the most important tasks for determining association rules consists of calculating all the maximal frequent itemsets. Specifically, some methods to obtain these itemsets hav...
Roxana Dánger, José Ruiz-Shulcloper,...
PVLDB
2008
107views more  PVLDB 2008»
13 years 7 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald
ICDE
2006
IEEE
153views Database» more  ICDE 2006»
14 years 9 months ago
ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery
ConQueSt is a constraint-based querying system devised with the aim of supporting the intrinsically exploratory nature of pattern discovery. It provides users with an expressive c...
Francesco Bonchi, Fosca Giannotti, Claudio Lucches...
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
14 years 9 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 8 months ago
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Mohammed Javeed Zaki, Karam Gouda