Mining Rare Sequential Patterns in Large Transaction Databases
Available Online August 2016.
- https://doi.org/10.2991/cset-16.2016.39How to use a DOI?
- Data mining, algorithm, rare sequential pattern, sequence
- 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.
- 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 -