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» Mining Sequential Patterns
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KDD
2000
ACM
77views Data Mining» more  KDD 2000»
15 years 5 months ago
Small is beautiful: discovering the minimal set of unexpected patterns
A drawback of most traditional data mining methods is that they do not leverage prior knowledge of users. In many business settings, managers and analysts have significant intuiti...
Balaji Padmanabhan, Alexander Tuzhilin
ICMLA
2008
15 years 3 months ago
Detection of Sequential Outliers Using a Variable Length Markov Model
Mining for outliers in sequential databases is crucial to forward appropriate analysis of data. Therefore, many approaches for the discovery of such anomalies have been proposed. ...
Cécile Low-Kam, Anne Laurent, Maguelonne Te...
FLAIRS
2004
15 years 2 months ago
Structure Discovery from Sequential Data
In this paper we describe I-Subdue, an extension to the Subdue graph-based data mining system. I-Subdue operates over sequentially received relational data to incrementally discov...
Jeffrey Coble, Diane J. Cook, Lawrence B. Holder, ...
ICALT
2007
IEEE
15 years 7 months ago
Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users
In this paper, a web usage mining based approach is proposed to discover potential browsing problems. Two web usage mining techniques in the approach are introduced, including Aut...
I-Hsien Ting, Chris Kimble, Daniel Kudenko
DEXA
2006
Springer
102views Database» more  DEXA 2006»
15 years 5 months ago
Mining RDF Metadata for Generalized Association Rules
In this paper, we present a novel frequent generalized pattern mining algorithm, called GP-Close, for mining generalized associations from RDF metadata. To solve the overgeneraliz...
Tao Jiang, Ah-Hwee Tan