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|Title:||Pattern space maintenance for data updates and interactive mining|
|Authors:||Feng, M. |
data update and interactive mining
|Citation:||Feng, M., Dong, G., Li, J., Tan, Y.-P., Wong, L. (2010). Pattern space maintenance for data updates and interactive mining. Computational Intelligence 26 (3) : 282-317. ScholarBank@NUS Repository. https://doi.org/10.1111/j.1467-8640.2010.00360.x|
|Abstract:||This article addresses the incremental and decremental maintenance of the frequent pattern space. We conduct an in-depth investigation on how the frequent pattern space evolves under both incremental and decremental updates. Based on the evolution analysis, a new data structure, Generator-Enumeration Tree (GE-tree), is developed to facilitate the maintenance of the frequent pattern space. With the concept of GE-tree, we propose two novel algorithms, Pattern Space Maintainer+ (PSM+) and Pattern Space Maintainer- (PSM-), for the incremental and decremental maintenance of frequent patterns. Experimental results demonstrate that the proposed algorithms, on average, outperform the representative state-of-the-art methods by an order of magnitude. © 2010 Wiley Periodicals, Inc.|
|Source Title:||Computational Intelligence|
|Appears in Collections:||Staff Publications|
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