Procedure for Selecting Significant Website Quality Evaluation Criteria Based on Feature Selection Methods

• Autorzy: Paweł Ziemba , Mateusz Piwowarski

Warianty tytułu

Procedura selekcji istotnych kryteriów oceny jakości serwisów internetowych z wykorzystaniem metod selekcji cech

• Języki publikacji: EN

Abstrakty

Badania przedstawione w pracy polegały na zbadaniu stosowalności metod selekcji cech (CFS, FCBF, Symmetrical Uncertainty, ReliefF, LVF, Significance Attribute) w zadaniu selekcji istotnych kryteriów oceny jakości serwisów internetowych i przypisywania im wag. Stosowalność metod została zbadana na tle podejścia polegającego na określaniu wag kryteriów oceny serwisów internetowych przez użytkowników. (abstrakt oryginalny)

EN

The research discussed in the article consists of examining the applicability of feature selection methods (CFS, FCBF, Symmetrical Uncertainty, ReliefF, LVF, Significance Attribute) in the task of selecting website assessment criteria and assigning weights to them. The applicability of the chosen methods was examined against the approach in which the weight of website assessment criteria is defined by users. The research results support the use of the SU method as part of the procedure, as a tool for the selection and weighting of the criteria. (original abstract)

Słowa kluczowe

PL

Data Mining; Ocena jakości; Serwis internetowy

EN

Data Mining; Quality assessment; Website

• Czasopismo: Studies & Proceedings of Polish Association for Knowledge Management
• Rocznik: 2013
• Tom: 67
• Strony: 119-133

Twórcy

autor

Paweł Ziemba

• Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

autor

Mateusz Piwowarski

• Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

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