Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Inductive databases and condensed representations for data mining (extended abstract)
ILPS '97 Proceedings of the 1997 international symposium on Logic programming
Efficiently mining long patterns from databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Depth first generation of long patterns
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
MAFIA: A Maximal Frequent Itemset Algorithm for Transactional Databases
Proceedings of the 17th International Conference on Data Engineering
Efficiently Mining Maximal Frequent Itemsets
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Frequent term-based text clustering
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining Recurrent Items in Multimedia with Progressive Resolution Refinement
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Pattern lattice traversal by selective jumps
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
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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.