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Distance-Based Methods for Association Rules Mining

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F08%3APU80201" target="_blank" >RIV/00216305:26230/08:PU80201 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Distance-Based Methods for Association Rules Mining

  • Original language description

    This chapter deals with the problem of association rule mining in relational tables. Discretization of quantitative attributes is a crucial step of this process. Existing discretization methods are summarized in the first part of the chapter. Then, a method called Average Distance Based Method, which was developed by the authors, is described in detail. The basic idea of the new method is to separate processing of categorical and quantitative attributes. A new measure called average distance is used during the discretization process.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Encyclopedia of Data Warehousing and Mining

  • ISBN

    978-1-60566-010-3

  • Number of pages of the result

    6

  • Pages from-to

  • Number of pages of the book

    2542

  • Publisher name

    IGI Global

  • Place of publication

    Hershey, New York

  • UT code for WoS chapter