Extract local correlation rules - Overview

Note

This document has been machine translated.

Correlation rules that occur frequently locally in event data can be extracted.

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

For more information on 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).

Endpoint

https://<api-server-endpoint>/api/v1/provenance/jsonrpc