Identifying Frequent User Tasks from Application Logs-Reference-Cited by-同舟云学术

Identifying Frequent User Tasks from Application Logs

Published:2017-03-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 22nd International Conference on Intelligent User Interfaces
language:
Short-container-title:

Author:

Dev Himel¹,Liu Zhicheng²

Affiliation:

1. University of Illinois at Urbana-Champaign, Champaign, IL, USA

2. Adobe Research, San Francisco, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3025171.3025184

Reference23 articles.

1. Large scale analysis of web revisitation patterns

2. Charu C. Aggarwal and Jiawei Han. 2014. Frequent Pattern Mining. Springer Publishing Company Incorporated. Charu C. Aggarwal and Jiawei Han. 2014. Frequent Pattern Mining. Springer Publishing Company Incorporated.

3. Mining association rules between sets of items in large databases

4. Boris Cuke Bart Goethals and Celine Robardet. A new constraint for mining sets in sequences. 317--328. Boris Cuke Bart Goethals and Celine Robardet. A new constraint for mining sets in sequences. 317--328.

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