Discovering Sequential Patterns from Non-Uniform Databases

  • Authors:
  • Du Dang;Xiaoyang Sean Wang

  • Affiliations:
  • -;-

  • Venue:
  • WAIM '00 Proceedings of the First International Conference on Web-Age Information Management
  • Year:
  • 2000

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Abstract

Databases, when used to collect data in the dynamic world, change over time. As a consequence, different parts of a database that come into the database at different times may contain activities with different characteristics. In other words, the data in the database are "non-uniform". This non-uniformity of the database gives rise to the idea of a Divide and Conquer strategy that divides a very large and non-uniform database into component parts for better mining. Experiments conducted show that the method is effective under various situations.