Fifth International Conference on Computer and Information Technology (CIT'05) A Multi-Supports-Based Sequential Pattern Mining Algorithm Shanghai, China September 21-September 23 ISBN: 0-7695-2432-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2005.22
Sequential pattern mining is now widely used in various areas, such as the analysis of biological sequences, Web access patterns, customer purchase patterns and etc. In this paper, we propose a new definition for M-sequences. Also we present multiple supports: local support, total support, and distribution support for their related mining of local sequential patterns, total sequential patterns and existence sequential patterns. Based on multiple supports, a multi-supports-based sequential pattern mining algorithm is developed which can be generally applied to find such patterns.
Citation:
Yun Xiong, Yang-yong Zhu, "A Multi-Supports-Based Sequential Pattern Mining Algorithm," cit, pp.170-174, Fifth International Conference on Computer and Information Technology (CIT'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||