Extraction of local correlation rules

This document has been machine translated.

It is possible to extract correlation rules that frequently appear locally in event data.

Using FP-Growth and SHUIM (Spatial High Utility Itemsets Mining), we can Using FP-Growth and SHUIM (Spatial High Utility Itemsets Mining), we can find clusters of spatially and temporally biased data and discover locally highly correlated frequent itemsets.

For more information about SHUIM, please refer to the following paper.

• Kiran, R. U., Zettsu, K., Toyoda, M., Kitsuregawa, M., Philippe F. V., Reddy, P. K.: Discovering Spatial High Utility Itemsets in Spatiotemporal Databases, 31st International Conference on Scientific and Statistical Database Management (SSDBM 2019), Santa Cruz, CA, USA, pp. 49-61 (July, 2019).

API List

• train_fpgrowth
• shuim