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Classification of Clients on the basis of Modifying Case-based Reasoning Algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39911903" target="_blank" >RIV/00216275:25410/18:39911903 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-67792-7_31" target="_blank" >http://dx.doi.org/10.1007/978-3-319-67792-7_31</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-67792-7_31" target="_blank" >10.1007/978-3-319-67792-7_31</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Classification of Clients on the basis of Modifying Case-based Reasoning Algorithms

  • Original language description

    This article deals with client’s classification possibilities for trade companies. One of the options for dealing with classification is to use Case-based Reasoning method. The proposed modified algorithm clears cases base, it eliminates invalid data and out-dated data from the time point of view. Hill-climbing algorithm is used for this. Classification results achieved by means of modified algorithm are compared with other classification methods such as Neuron Networks, Top Down Induction Decision Trees and Logistic Regression.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Man-Machine Interactions 5. ICMMI 2017

  • ISBN

    978-3-319-67791-0

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    311-319

  • Publisher name

    Springer International Publishing AG

  • Place of publication

    Cham

  • Event location

    Krakov

  • Event date

    Oct 3, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000468066000031