Usability of Visual Data Mining Tools

نویسندگان

  • Edwige P. Fangseu Badjio
  • François Poulet
چکیده

Visual data mining is a field of research which needs knowledge from several domains: statistics, data analysis, machine learning, artificial intelligence, human-machine interfaces, data or information visualization. We are interested in visual data mining environment usability (man-machine interaction quality). This paper investigates how usability aspects can be incorporated in visual data mining environment so that usability can be taking into account during the design process of the tool without prototype evaluation tests which are time consuming at design stage. We have defined and we present here a set of criteria for improving visual data mining tools usability.

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تاریخ انتشار 2004