Result: Weighted order-dependent clustering and visualization of web navigation patterns
Title:
Weighted order-dependent clustering and visualization of web navigation patterns
Authors:
Source:
Decision support systems. 43(4):1630-1645
Publisher Information:
Amsterdam: Elsevier Science, 2007.
Publication Year:
2007
Physical Description:
print, 20 ref
Original Material:
INIST-CNRS
Subject Terms:
Electronics, Electronique, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Théorie de la décision. Théorie de l'utilité, Decision theory. Utility theory, Modèles d'entreprises, Firm modelling, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Analyse amas, Cluster analysis, Analisis cluster, Autoorganisation, Self organization, Autoorganización, Classification, Clasificación, Commercialisation, Marketing, Comercialización, Diagramme état, State diagram, Diagrama estado, Etat transition, Transition state, Estado transitorio, Gestion relation client, Customer relationship management, Internet, Navigation information, Information browsing, Navegacíon informacíon, Prise décision, Decision making, Toma decision, Probabilité transition, Transition probability, Probabilidad transición, Processus Markov, Markov process, Proceso Markov, Préférence, Preference, Preferencia, Réseau web, World wide web, Red WWW, Visualisation, Visualization, Visualización, Clustering, Markov state-transition diagrams, Self-organizing map
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Business Information Systems Department, 3515 Old Main Hill, Utah State University, Logon, UT 84322, United States
ISSN:
0167-9236
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Operational research. Management
Operational research. Management
Accession Number:
edscal.19022025
Database:
PASCAL Archive
Further Information
This study introduces a simple but effective visualization system that allows decision makers to easily identify groups of visitors with different sequential navigation patterns. In particular, navigation sequences of visitors are encoded as an order-dependent format so that early visited pages have more weights in the clustering process. Experimental results on a real-world dataset show that Markov state-transition diagrams with transition probabilities based on the proposed scheme can be very useful for developing Web marketing programs tailored to visitors' preferences and interests.