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» A taxonomy of sequential pattern mining algorithms
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KDD
1999
ACM
185views Data Mining» more  KDD 1999»
13 years 11 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...
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
14 years 8 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
DGO
2008
128views Education» more  DGO 2008»
13 years 9 months ago
Ontology generation for large email collections
This paper presents a new approach to identifying concepts expressed in a collection of email messages, and organizing them into an ontology or taxonomy for browsing. It incorpora...
Hui Yang, Jamie Callan
KDD
1997
ACM
106views Data Mining» more  KDD 1997»
13 years 11 months ago
Clustering Sequences of Complex Objects
Sequential Data This paper is about the unsuperviseddiscovery of patterns in sequencesof compositeobjects. A compositeobject may be describedas a sequenceof other, simpler data. In...
A. Ketterlin
DASFAA
2006
IEEE
133views Database» more  DASFAA 2006»
14 years 1 months ago
Mining Spatio-temporal Association Rules, Sources, Sinks, Stationary Regions and Thoroughfares in Object Mobility Databases
Abstract. As mobile devices proliferate and networks become more locationaware, the corresponding growth in spatio-temporal data will demand analysis techniques to mine patterns th...
Florian Verhein, Sanjay Chawla