Validation Model for Discovered Web User Navigation Patterns - Artificial Intelligence for Knowledge Management (AI4KM 2012) Access content directly
Conference Papers Year : 2014

Validation Model for Discovered Web User Navigation Patterns

Abstract

Information society with huge number of everyday acting participants becomes valuable source of surfer behavior research. Especially web server logs can be used for discovering knowledge useful in different areas. Knowledge acquired from web server logs in order to generate solutions has to be validated. The aim of this paper is presentation of web usage mining as a rather complex process and in this context elaboration of validation model. On a basis of iterative and hybrid approach to discover user navigation patterns the concept of generated knowledge validation model is proposed. Some experiments on real website allow to define a new method of generated association rules refinement including specific knowledge validation techniques. Some constraints as discovered knowledge validation criteria are defined.
Fichier principal
Vignette du fichier
978-3-642-54897-0_3_Chapter.pdf (4 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01256585 , version 1 (15-01-2016)

Licence

Attribution

Identifiers

Cite

Mieczysław Owoc, Paweł Weichbroth. Validation Model for Discovered Web User Navigation Patterns. 1st IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Aug 2012, Montpellier, France. pp.38-52, ⟨10.1007/978-3-642-54897-0_3⟩. ⟨hal-01256585⟩
98 View
96 Download

Altmetric

Share

Gmail Facebook X LinkedIn More