%0 Conference Proceedings
%T A Model of Machine Learning Based Interactive E-business Website
%+ University of Bialystok
%+ Kaunas University of Technology (KTU)
%A Budnikas, Germanas
%Z Part 6: Modelling and Optimization
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Bialystok, Poland
%Y Khalid Saeed
%Y Władysław Homenda
%Y Rituparna Chaki
%I Springer International Publishing
%3 Computer Information Systems and Industrial Management
%V LNCS-10244
%P 470-480
%8 2017-06-16
%D 2017
%R 10.1007/978-3-319-59105-6_40
%K Support vector machines
%K K-means
%K Artificial neural network
%K Principal component analysis
%K Online customer behavior tracking
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Current online businesses usually contain supporting tools for an instant acquiring offered services and goods. Electronic web site solutions that guide a potential user to a successful finalization of browsing activities, i.e. to purchase finalization play an important role in trading. The proposed in the paper approach presents a model aiming at an assistance in transaction finalization using browsing activity data and personal information. The model is capable to discover missing personal data and to use forecasted values in the research. Results of the applied machine learning techniques are compared while using the whole set of the collected browsing activity data and the data with a reduced number of dimensions.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01656266/document
%2 https://inria.hal.science/hal-01656266/file/448933_1_En_40_Chapter.pdf
%L hal-01656266
%U https://inria.hal.science/hal-01656266
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-10244