Discovering Spatial High Utility Itemsets in Spatiotemporal Databases-Reference-Cited by-同舟云学术

Discovering Spatial High Utility Itemsets in Spatiotemporal Databases

Published:2019-07-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st International Conference on Scientific and Statistical Database Management
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Author:

Kiran R. Uday¹,Zettsu Koji²,Toyoda Masashi³,Fournier-Viger Philippe⁴,Reddy P. Krishna⁵,Kitsuregawa Masaru⁶

Affiliation:

1. National Institute of Information and Communications Technology, Japan The University of Tokyo, Japan

2. National Institute of Information and Communications Technology, Japan

3. The University of Tokyo, Japan

4. Harbin Institute of Technology, Shenzhen, China

5. International Institute of Information Technology, Hyderabad, India

6. National Institute of Informatics, Japan The University of Tokyo, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3335783.3335789

Reference28 articles.

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2. Mining High Utility Web Access Sequences in Dynamic Web Log Data

3. Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases

4. Statistics Bureau. {Online accessed on 28-Feb-2019}. Japanese Industrial Standard X0410. http://www.stat.go.jp/english/data/mesh/02.html. Statistics Bureau. {Online accessed on 28-Feb-2019}. Japanese Industrial Standard X0410. http://www.stat.go.jp/english/data/mesh/02.html.

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