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Author Benabdeslem, K. ♦ Bennani, Y. ♦ Janvier, E.
Sponsorship Arab Comput. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2001
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Neurons ♦ Data mining ♦ Clustering algorithms ♦ Pattern recognition ♦ Neural networks ♦ Explosives ♦ Pattern analysis ♦ Context modeling ♦ Filling ♦ Unsupervised learning
Abstract Proposes a new version of the "topological maps" algorithm, which has been used to cluster Web site visitors. These are characterized by partially redundant variables over time. In this version, we only consider those input vectors' neurons that participate in the selection of the winning neuron in the map. In order to identify these neurons, we use a binary function. Subsequently, we apply a partial modification on the weights that relates them to the winning neuron. Using this new version, we obtained a clustering of Web site visitors' behaviors, which has been difficult to analyse before. This clustering allows a recommendation system to satisfy the Web site visitors' needs based on their cluster membership at each step in time.
Description Author affiliation: LIPN, Univ. de Paris-Nord, Villetaneuse, France (Benabdeslem, K.)
ISBN 0769511651
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2001-06-25
Publisher Place Lebanon
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 449.89 kB
Page Count 5
Starting Page 511
Ending Page 515

Source: IEEE Xplore Digital Library