Title :
An incremental SOM for Web navigation patterns clustering
Author :
Benabdeslem, Khalid ; Bennani, Younes
Author_Institution :
LIPN, Univ. of Paris 13, Villetaneuse
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;
Conference_Titel :
Information Technology Interfaces, 2004. 26th International Conference on
Conference_Location :
Cavtat
Print_ISBN :
953-96769-9-1
