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EN
ČeštinaEnglish

Using Entropy in Web Usage Data Preprocessing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39911983" target="_blank" >RIV/00216275:25410/18:39911983 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.3390/e20010067" target="_blank" >http://dx.doi.org/10.3390/e20010067</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/e20010067" target="_blank" >10.3390/e20010067</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using Entropy in Web Usage Data Preprocessing

  • Original language description

    The paper is focused on an examination of the use of entropy in the field of web usage mining. Entropy creates an alternative possibility of determining the ratio of auxiliary pages in the session identification using the Reference Length method. The experiment was conducted on two different web portals. The first log file was obtained from a course of virtual learning environment web portal. The second log file was received from the web portal with anonymous access. A comparison of the results of entropy estimation of the ratio of auxiliary pages and a sitemap estimation of the ratio of auxiliary pages showed that in the case of sitemap abundance, entropy could be a full-valued substitution for the estimate of the ratio of auxiliary pages.

  • Czech name

    —

  • Czech description

    —

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

    —

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    —

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Entropy

  • ISSN

    1099-4300

  • e-ISSN

    —

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    15

  • Pages from-to

    67-82

  • UT code for WoS article

    000424876200064

  • EID of the result in the Scopus database

    —

Similar results(10)

Improving the Session Identification Using the Ratio of Auxiliary Pages EstimateUnconventional Usage of Entropy in the Field of Web Usage Data Preprocessing and Machine Translation EvaluationOracle Portal for monitoring and controlling industrial processes using the selected languages type of XML (Model Case Study for ripening yoghurt manufacturing tank of MADETA Company Inc.)