DocumentCode
2188993
Title
An incremental SOM for Web navigation patterns clustering
Author
Benabdeslem, Khalid ; Bennani, Younes
Author_Institution
LIPN, Univ. of Paris 13, Villetaneuse
fYear
2004
fDate
7-10 June 2004
Firstpage
209
Abstract
In this paper, we present a new clustering method which makes incremental the construction of an unsupervised neural model (self organizing map: SOM). In other words, the method is computed with both, the initial model based on the a priori available data and the data which arrive dynamically in the time. This approach is validated over Web navigation data and it is compared to classical neural clustering applied to the same data
Keywords
Internet; data mining; information retrieval; pattern clustering; self-organising feature maps; unsupervised learning; Web mining; Web navigation data; incremental self organizing map; neural clustering; patterns clustering method; unsupervised learning; unsupervised neural model; Clustering algorithms; Clustering methods; Data visualization; Displays; Navigation; Neurons; Organizing; Pattern clustering; Unsupervised learning; Visual databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology Interfaces, 2004. 26th International Conference on
Conference_Location
Cavtat
Print_ISBN
953-96769-9-1
Type
conf
Filename
1372404
Link To Document