A New Algorithm for Mining Sequential Patterns

Authors:
Zhuo Zhang;Lu Zhang;Shaochun Zhong;Jiwen Guan
Affiliations:
-;-;-;-
Venue:
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02
Year:
2008

Citing 0
Cited 3

A service composition approach based on sequence mining for migrating e-learning legacy system to SOA

International Journal of Automation and Computing
Mining sequential patterns with extensible knowledge representation

Intelligent Data Analysis
Incremental mining of sequential patterns: Progress and challenges

Intelligent Data Analysis

Quantified Score

Hi-index	0.00

Visualization

Abstract

AprioriAll and AprioriSome are very famous algorithms for mining sequential patterns, which are used to find motifs on a fixed min-support number. In this paper, we contribute a new algorithm that can find all motifs on any min-support numbers.