A Generalized Weighted Closed Sequential Pattern Mining Algorithm with Item Interval
Haitao Lu, Shuo Li
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.286How to use a DOI?
- weighted sequential patterns; closed sequential patterns; item interval
- The algorithm of this paper inserts pseudo items which are converted from item interval to obtain equal extended sequence database; it defines item-interval constraints, which are relative to the item weight, to prune the mining patterns. Through doing this, the algorithm avoids mining the patterns which users are not interested in and shortens the running time. It adopts histogram statistic pattern to get the standardization description to item interval of the mining patterns, making the mining sequences include the item interval information which is valuable to user decision.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Haitao Lu AU - Shuo Li PY - 2015/04 DA - 2015/04 TI - A Generalized Weighted Closed Sequential Pattern Mining Algorithm with Item Interval BT - 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.286 DO - https://doi.org/10.2991/amcce-15.2015.286 ID - Lu2015/04 ER -