Enhanced Mining of High Utility Patterns from Streams of Dynamic Profit-Reference-Cited by-同舟云学术

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Enhanced Mining of High Utility Patterns from Streams of Dynamic Profit

Published:2023-10-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)
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Author:

Mai Jiaxing¹,Leung Carson K.¹,Hryhoruk Connor C.J.¹,Pazdor Adam G.M.¹

Affiliation:

1. University of Manitoba,Winnipeg,MB,Canada

Funder

University of Manitoba

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10302431/10302461/10302550.pdf?arnumber=10302550

Reference30 articles.

1. Average utility driven data analytics on damped windows for intelligent systems with data streams

2. Damped sliding based utility oriented pattern mining over stream data

3. The Hadoop distributed file system;shvachko;MSST,2012

4. Efficient algorithms for mining closed high utility itemsets in dynamic profit databases

5. Generating Privacy Preserving Synthetic Medical Data

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