An Efficient Framework for Web Content Mining Systems Using Improved CD-PAM Clustering and the A-CNN Technique-Reference-Cited by-同舟云学术

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An Efficient Framework for Web Content Mining Systems Using Improved CD-PAM Clustering and the A-CNN Technique

Published:2023-09-09 Issue:5 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Pujar Manjunath,Mundada Monica R.,Sowmya B. J.,Supreeth S.,Shruthi G.

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/s42979-023-02137-w.pdf

Reference42 articles.

1. Schedl M, Widmer G, Kness P, Pohle T. A music information system automatically generated via web content mining techniques. Inf Process Manag. 2011;47(3):426–39.

2. Yadao S, Vinaya Babu A, Janarthanam M, Bhaumik A. A proposal on semantic enhanced web mining based deep neural network framework. Mater Today Proc. 2021. https://doi.org/10.1016/j.matpr.2021.01.486.

3. Nanni L, Costa YMG, Lucio DR, Silla CN Jr, Brahnam S. Combining visual and acoustic features for audio classification tasks. Pattern Recognit Lett. 2017;88:1–11.

4. Fersini E, Messina E, Archetti F. Enhancing web page classification through image block importance analysis. Inform Process Manag. 2008;44(4):1431–47.

5. Kim K-J, Cho S-B. Fuzzy integration of structure adaptive SOMs for web content mining. Fuzzy Sets Syst. 2004;148(1):43–60.

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