Data mining techniques and nature-inspired algorithms for query expansion-Reference-Cited by-同舟云学术

Data mining techniques and nature-inspired algorithms for query expansion

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications - LOPAL '18
language:
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Author:

Khennak Ilyes¹,Drias Habiba¹

Affiliation:

1. Laboratory for Research in Artificial Intelligence, USTHB, Algiers, Algeria

Publisher

ACM Press

Reference28 articles.

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2. Swagat Kumar Behera, Satyasis Mishra, and Debaraj Rana. 2015. Image enhancement using accelerated particle swarm optimization. International Journal of Engineering Research & Technology 4, 03 (2015), 1049--1054.

3. Claudio Carpineto and Giovanni Romano. 2012. A survey of automatic query expansion in information retrieval. Comput. Surveys 44, 1 (2012), 1.

4. Nhung Do, Wenny Rahayu, and Torab Torabi. 2016. A query expansion approach for social media data extraction. International Journal of Web and Grid Services 12, 4 (2016), 418--441.

5. Yogesh Gupta and Ashish Saini. 2017. A novel Fuzzy-PSO term weighting automatic query expansion approach using combined semantic filtering. Knowledge-Based Systems 136 (2017), 97--120.

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