An Affinity Propagation Approach for Entity Clustering with Spark

Author:

Tran Phuc Quang1,Trieu Ngoan Thanh2,Luong Huong Hoang3,Tran Nghi C.4,Huynh Hiep Xuan2

Affiliation:

1. Department of Foreign Languages and Informatics, People's Police College III, Cantho, Vietnam

2. College of Information and Communication Technology, Can Tho University, Cantho, Vietnam

3. Department of Information Technology, FPT University, Cantho, Vietnam

4. College of Electrical Engineering and Computer Science, National Central University, Taoyuan, Taiwan

Publisher

ACM

Reference28 articles.

1. Le Bing Liu. 2006. Web Data Mining: Exploring Hyperlinks Contents and Usage Data (Data-Centric Systems and Applications). Springer-Verlag Berlin Heidelberg. Le Bing Liu. 2006. Web Data Mining: Exploring Hyperlinks Contents and Usage Data (Data-Centric Systems and Applications). Springer-Verlag Berlin Heidelberg.

2. Frey B.J. & Dueck D. (2007). Clustering by passing messages between data points. Science 315 5814 972--6. Frey B.J. & Dueck D. (2007). Clustering by passing messages between data points. Science 315 5814 972--6.

3. Dueck Delbert. (2009). Affinity propagation: Clustering data by passing messages. PhD thesis. Dueck Delbert. (2009). Affinity propagation: Clustering data by passing messages. PhD thesis.

4. Nadeau David & Sekine Satoshi. (2007). A Survey of Named Entity Recognition and Classification. Lingvisticae Investigationes. 30. 10.1075/li.30.1.03nad Nadeau David & Sekine Satoshi. (2007). A Survey of Named Entity Recognition and Classification. Lingvisticae Investigationes. 30. 10.1075/li.30.1.03nad

5. li Jing & Sun Aixin & Han Ray & Li Chenliang. (2018). A Survey on Deep Learning for Named Entity Recognition. li Jing & Sun Aixin & Han Ray & Li Chenliang. (2018). A Survey on Deep Learning for Named Entity Recognition.

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