Add to ORKGIn this paper, we apply AntClust, an ant based clustering algorithm, to the Web usage-mining problem. We define a Web session as a weighted multi-modal vector and we propose an adapted similar-ity measure between two sessions. We show that our algorithm finds non-noisy clusters that simplify the interpretation of the re-sults when it is applied on real Web sessions coded as vectors com-posed of ”hits by page”. 1
World Wide Web overwhelms us with theimmense amounts of widely distributedinterconnected, rich and d...
Analyzing access log les is usually called Web Usage Mining and provides very useful knowledge for p...
Abstract:- Clustering is the process of grouping objects together in such a way that the objects bel...
Abstract- The rapid e-commerce growth has made both business community and customers face a new situ...
In this thesis, we develop a new clustering approach inspired from the chemical recognition system o...
In the context of web personalization and dynamic con-tent recommendation, it is crucial to learn ty...
Abstract Web log mining is analysis of web log files with web page sequences. Discovering user acces...
Web logs can provide a wealth of information on user access patterns of a corresponding website, whe...
In this paper, we propose a new version of the topological maps algorithm, which has been used to cl...
Mining web access log data is a popular technique to identify frequent access patterns of website us...
Algorithms for clustering Web search results have to be efficient and robust. Furthermore they must...
The identification of categories of visitors to a Web-site is very useful towards improved Web desig...
Abstract This paper presents an ant-inspired method for clustering semantic Web services. The method...
Ant-based clustering and sorting is a nature-inspired heuristic for general clustering tasks. It ha...
Algorithms for clustering web search results have to be efficient and robust. Furthermore they must ...
World Wide Web overwhelms us with theimmense amounts of widely distributedinterconnected, rich and d...
Analyzing access log les is usually called Web Usage Mining and provides very useful knowledge for p...
Abstract:- Clustering is the process of grouping objects together in such a way that the objects bel...
Abstract- The rapid e-commerce growth has made both business community and customers face a new situ...
In this thesis, we develop a new clustering approach inspired from the chemical recognition system o...
In the context of web personalization and dynamic con-tent recommendation, it is crucial to learn ty...
Abstract Web log mining is analysis of web log files with web page sequences. Discovering user acces...
Web logs can provide a wealth of information on user access patterns of a corresponding website, whe...
In this paper, we propose a new version of the topological maps algorithm, which has been used to cl...
Mining web access log data is a popular technique to identify frequent access patterns of website us...
Algorithms for clustering Web search results have to be efficient and robust. Furthermore they must...
The identification of categories of visitors to a Web-site is very useful towards improved Web desig...
Abstract This paper presents an ant-inspired method for clustering semantic Web services. The method...
Ant-based clustering and sorting is a nature-inspired heuristic for general clustering tasks. It ha...
Algorithms for clustering web search results have to be efficient and robust. Furthermore they must ...
World Wide Web overwhelms us with theimmense amounts of widely distributedinterconnected, rich and d...
Analyzing access log les is usually called Web Usage Mining and provides very useful knowledge for p...
Abstract:- Clustering is the process of grouping objects together in such a way that the objects bel...