Identifying In-App User Actions from Mobile Web Logs-Reference-Cited by-同舟云学术

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Identifying In-App User Actions from Mobile Web Logs

Published:2018 Issue: Volume: Page:300-311
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
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Author:

Priyogi Bilih,Sanderson Mark,Salim Flora,Chan Jeffrey,Tomko Martin,Ren Yongli

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-93037-4_24

Reference21 articles.

1. Arora, D., Neville, S.W., Li, K.F.: Mining wifi data for business intelligence. In: 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 394–398, October 2013. https://doi.org/10.1109/3PGCIC.2013.67

2. Buehrer, G., Stokes, J.W., Chellapilla, K.: A large-scale study of automated web search traffic. In: Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web, AIRWeb 2008, pp. 1–8 (2008)

3. Bulut, E., Szymanski, B.K.: Understanding user behavior via mobile data analysis. In: 2015 IEEE International Conference on Communication Workshop (ICCW), pp. 1563–1568, June 2015. https://doi.org/10.1109/ICCW.2015.7247402

4. Chen, L., Li, Z., Ju, S.: Based on forward reference object transaction identification algorithm on web mining. In: ALPIT 2007, pp. 469–473, August 2007

5. Cooley, R., Mobasher, B., Srivastava, J.: Grouping web page references into transactions for mining world wide web browsing patterns. In: Proceedings 1997 IEEE Knowledge and Data Engineering Exchange Workshop, pp. 2–9, November 1997. https://doi.org/10.1109/KDEX.1997.629824

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BehavSniffer: Sniff User Behaviors from the Encrypted Traffic by Traffic Burst Graphs;2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON);2023-09-11

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