Understanding of Data Preprocessing for Dimensionality Reduction Using Feature Selection Techniques in Text Classification-Reference-Cited by-同舟云学术

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Understanding of Data Preprocessing for Dimensionality Reduction Using Feature Selection Techniques in Text Classification

Published:2021 Issue: Volume: Page:455-464
ISSN:2367-3370
Container-title:Intelligent Computing and Innovation on Data Science
language:
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Author:

Dogra Varun,Singh Aman,Verma Sahil,Kavita ,Jhanjhi N. Z.,Talib M. N.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3153-5_48

Reference20 articles.

1. Magnini B, Pezzulo G, Gliozzo A (2002) The role of domain information in word sense disambiguation. Natural Language Engineering

2. Ramisetty S, Verma S (2019) The amalgamative sharp wireless sensor networks routing and with enhanced machine learning. J Comput Theor Nanosci 16(9):3766–3769

3. Zhang ML, Zhou ZH (2007) ML-KNN: a lazy learning approach to multi-label learning. Pattern Recogn 40(7):2038–2048

4. Batra I, Verma S, Malik A, Ghosh U, Rodrigues JJ, Nguyen GN, Mariappan V (2020) Hybrid logical security framework for privacy preservation in the green internet of things. Sustainability 12(14):5542

5. Armanfard N, Reilly JP, Komeili M (2015) Local feature selection for data classification. IEEE Trans Pattern Anal Mach Intell 38(6):1217–1227

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