An Optimal Topic Centric Crawler for Acquiring Bio-medical Themes Utilizing Gaussian Support Vector Regression-Reference-Cited by-同舟云学术

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An Optimal Topic Centric Crawler for Acquiring Bio-medical Themes Utilizing Gaussian Support Vector Regression

Published:2023-10-31 Issue:6 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Rajiv S.,Navaneethan C.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-023-02306-x.pdf

Reference40 articles.

1. Salton G, Wong A, Yang C. Information retrieval and language processing: a vector space model for automatic indexing. Commun ACM. 1975;18(11):613.

2. Liu WJ, Du YJ. A novel FC based on cell-like membrane computing optimization algorithm. Neurocomputing. 2014;123:266–80.

3. Bedi P, Thukral A, Banati H. Focused crawling of tagged web resources using ontology. Comput Electr Eng. 2013;39(2):613–28.

4. Du Y, Liu W, Lv X, Peng G. An improved FC based on semantic similarity vector space model. Appl Soft Comput J. 2015;36:392–407.

5. Wu Z, Palmer M. Verbs semantics and lexical selection. Assoc Comput Ling. 1994;133–138:1994.

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1. Design and Implementation of Web Crawler System Based on Python Technology;2023 3rd International Signal Processing, Communications and Engineering Management Conference (ISPCEM);2023-11-25

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