Implementing leap traversals of the itemset lattice

  • Authors:
  • Mohammad El-Hajj;Osmar R. Zaïane

  • Affiliations:
  • University of Alberta, Edmonton, AB, Canada;University of Alberta, Edmonton, AB, Canada

  • Venue:
  • Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
  • Year:
  • 2005

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Abstract

The Leap-Traversal approach consists of traversing the item-set lattice by deciding on carefully selected nodes and avoiding systematic enumeration of candidates. We propose two ways to implement this approach. The first one uses a simple header-less frequent pattern tree and the second one partitions the transaction space using COFI-trees. In this paper we discuss how to avoid nodes in the lattice that would not participate in the answer set and hence drastically reduce the number of candidates to test out. We also study the performance of HFP-Leap and COFI-Leap in comparison with other algorithms.