Mining Rare Sequential Patterns in Large Transaction Databases

DOI

10.2991/cset-16.2016.39How to use a DOI?

Keywords

Data mining, algorithm, rare sequential pattern, sequence

Abstract

Sequential pattern is an important research topic in data mining and knowledge discovery. During the discovery of sequential patterns, only the frequent sequences are considered while all the infrequent sequences are ignored. However, some infrequent patterns can provide very useful insight view into the data set and a new kind of knowledge discovery problems called as rare sequential pattern and its discovery algorithm are proposed in this paper. Experiments on the synthetic data set show that the proposed algorithm is efficient and scalable.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Weimin Ouyang
PY  - 2016/08
DA  - 2016/08
TI  - Mining Rare Sequential Patterns in Large Transaction Databases
BT  - Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 159
EP  - 162
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.39
DO  - 10.2991/cset-16.2016.39
ID  - Ouyang2016/08
ER  -