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Association Based Classification for Relational Data and Its Use in Web Mining

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F09%3APU82588" target="_blank" >RIV/00216305:26230/09:PU82588 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Association Based Classification for Relational Data and Its Use in Web Mining

  • Original language description

    Classification based on mining association rules is a method with good accuracy and human readable&nbsp;classification model. The aim of this paper is to propose modification of the basic association based classification method, which can be used for thedata extracted from web pages. In this paper, the modifications of the method and necessary discretization of numeric attributes will be described. Next, the experiments with various data will be presented, with emphasis on data obtained by extraction and segmentation of web pages.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2009 IEEE Symposium on Computational Intelligence and Data Mining Proceedings

  • ISBN

    978-1-4244-2765-9

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Nashville

  • Event location

    Nashville, Tennessee

  • Event date

    Mar 30, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article