A generic Data Mart architecture to support Web mining

J. D. Velásquez, H. Yasuda, T. Aoki, R. Weber

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

The introduction of a generic Data Mart architecture to support advanced web mining in order to analyze web site visits is discussed. The architecture is based on a star model and contains the relevant historical data from visits to the web site. Its fact table contains various additive measures that support the intended data mining tasks. Based on the sources, user behavior can be characterized and stored in user behavior vectors that serve as input for data mining.

本文言語English
ホスト出版物のタイトルFourth International Conference on Data Mining, Data Mining IV
編集者N.F.F.E. Ebecken, C.A. Brebbia, A. Zanasi
ページ389-399
ページ数11
出版ステータスPublished - 2003 12 1
イベントFourth International Conference on Data Mining, Data Mining IV - Rio De Janeiro, Brazil
継続期間: 2003 12 12003 12 3

出版物シリーズ

名前Management Information Systems
7

Other

OtherFourth International Conference on Data Mining, Data Mining IV
CountryBrazil
CityRio De Janeiro
Period03/12/103/12/3

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Engineering(all)
  • Computer Science Applications
  • Information Systems and Management

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