Short Text Stream Clustering via Frequent Word Pairs and Reassignment of Outliers to Clusters-Reference-Cited by-同舟云学术

Short Text Stream Clustering via Frequent Word Pairs and Reassignment of Outliers to Clusters

Published:2020-09-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Symposium on Document Engineering 2020
language:
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Author:

Rakib Md Rashadul Hasan¹,Zeh Norbert¹,Milios Evangelos¹

Affiliation:

1. Dalhousie University, Nova Scotia, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3395027.3419589

Reference12 articles.

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2. A Dirichlet process biterm-based mixture model for short text stream clustering

3. Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest and Clifford Stein. 2009. Introduction to Algorithms Third Edition (3rd ed.). The MIT Press. Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest and Clifford Stein. 2009. Introduction to Algorithms Third Edition (3rd ed.). The MIT Press.

4. Thomas M. Cover and Joy A. Thomas. 2006. Elements of Information Theory. Wiley-Interscience New York NY USA. Thomas M. Cover and Joy A. Thomas. 2006. Elements of Information Theory. Wiley-Interscience New York NY USA.

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