Proceedings of the 2016 International Conference on Computer Science and Electronic Technology

Mining Rare Sequential Patterns in Large Transaction Databases

Authors
Weimin Ouyang
Corresponding Author
Weimin Ouyang
Available Online August 2016.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Science and Electronic Technology
Part of series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
978-94-6252-213-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/cset-16.2016.39How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Weimin Ouyang
PY  - 2016/08
DA  - 2016/08
TI  - Mining Rare Sequential Patterns in Large Transaction Databases
BT  - 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  - https://doi.org/10.2991/cset-16.2016.39
ID  - Ouyang2016/08
ER  -