Association rules mining for handling continuous attributes using genetic network programming and fuzzy membership functions

Karla Taboada*, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Data Mining is the process of extracting useful hidden knowledge from large volumes of data and its results can be used in decision support systems. Several data mining algorithms have been developed; one example is the association rule mining, which discovers associations among items encoded within a database. When the values of the attributes in a database are continuous such as height, length or weight, their domain is usually discretized into several intervals, as a result, such attributes are handled as discrete attributes. In this study, a new approach of mining association rules for handling continuous attributes that does not use any discretization is proposed. The methodology is based on a new graph-based evolutionary algorithm named "Genetic Network Programming (GNP)" and fuzzy membership functions. Our data mining method first needs to transform the continuous values in transactions into linguistic terms, then judge them and find association rules using GNP. GNP represent its individuals using graph structures that evolve in order to find a solution; this feature contributes to creating quite compact programs and implicitly memorizing past action sequences. The proposed method can measure the significance of the extracted association rules by using support, confidence and χ2 test, and obtains a sufficient number of important association rules in a short time.

本文言語English
ホスト出版物のタイトルSICE Annual Conference, SICE 2007
ページ2723-2729
ページ数7
DOI
出版ステータスPublished - 2007 12月 1
イベントSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan
継続期間: 2007 9月 172007 9月 20

出版物シリーズ

名前Proceedings of the SICE Annual Conference

Conference

ConferenceSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
国/地域Japan
CityTakamatsu
Period07/9/1707/9/20

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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