Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases-Reference-Cited by-同舟云学术

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Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases

Published:2021-12-15 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Big Data (Big Data)
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Author:

Pallikila Pradeep,Veena P.,Kiran R. Uday,Avatar Ram,Ito Sadanori,Zettsu Koji,Reddy P. Krishna

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9671263/9671273/09671912.pdf?arnumber=9671912

Reference31 articles.

1. The spmf open-source data mining library version 2;fournier-viger;PKDD,2016

2. PHM: mining periodic high-utility itemsets;fournier-viger;Industrial Conference on Data Mining,2016

3. Discovering Spatial High Utility Itemsets in Spatiotemporal Databases

4. Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases

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