Discovering and learning sensational episodes of news events-Reference-Cited by-同舟云学术

Discovering and learning sensational episodes of news events

Published:2014-04-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd International Conference on World Wide Web
language:
Short-container-title:

Author:

Ao Xiang¹,Luo Ping¹,Li Chengkai²,Zhuang Fuzhen¹,He Qing¹,Shi Zhongzhi¹

Affiliation:

1. Key Lab of Intelligent Information Processing, Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Beijing, China

2. University of Texas ar Arlington, Arlington, USA

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2567948.2577290

Reference4 articles.

1. Efficient mining of frequent episodes from complex sequences

2. Re-examination of interestingness measures in pattern mining: a unified framework

3. Wei Shen et al. Linden: linking named entities with knowledge base via semantic knowledge. In WWW12. 10.1145/2187836.2187898 Wei Shen et al. Linden: linking named entities with knowledge base via semantic knowledge. In WWW12. 10.1145/2187836.2187898

4. Heikki Mannila and Hannu Toivonen. Discovering generalized episodes using minimal occurrences. In KDD96. Heikki Mannila and Hannu Toivonen. Discovering generalized episodes using minimal occurrences. In KDD96.

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