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» Structure Discovery from Sequential Data
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FLAIRS
2004
13 years 6 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, ...
KDD
1999
ACM
185views Data Mining» more  KDD 1999»
13 years 8 months ago
User-Driven Navigation Pattern Discovery from Internet Data
Managers of electronic commerce sites need to learn as much as possible about their customers and those browsing their virtual premises, in order to maximise the return on marketin...
Matthias Baumgarten, Alex G. Büchner, Sarabjo...
ICDM
2009
IEEE
173views Data Mining» more  ICDM 2009»
13 years 2 months ago
Discovery of Quantitative Sequential Patterns from Event Sequences
Fumiya Nakagaito, Tomonobu Ozaki, Takenao Ohkawa
SDM
2003
SIAM
174views Data Mining» more  SDM 2003»
13 years 5 months ago
STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data
In this paper, we focus on mining periodic patterns allowing some degree of imperfection in the form of random replacement from a perfect periodic pattern. In InfoMiner+, we propo...
Jiong Yang, Wei Wang 0010, Philip S. Yu
CORR
2007
Springer
170views Education» more  CORR 2007»
13 years 4 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...