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Text and Image Compression based on Data Mining Perspective Cover

Text and Image Compression based on Data Mining Perspective

Data Science Journal
Volume 17 (2018): Issue 0
By: C. Oswald and  B. Sivaselvan  
Open Access
|Jun 2018

Authors

C. Oswald

oswald.mecse@gmail.com

Department of Computer Science and Engineering, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai

B. Sivaselvan

sivaselvanb@iiitdm.ac.in

Department of Computer Science and Engineering, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai
DOI: https://doi.org/10.5334/dsj-2018-012 | Journal eISSN: 1683-1470
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Language: English
Submitted on: Mar 18, 2018
Accepted on: May 8, 2018
Published on: Jun 7, 2018
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Apriori algorithm,
Clustering,
Compression Ratio,
Frequent Pattern Mining,
Huffman Encoding,
Lossy Compression,
Run Length Encoding

© 2018 C. Oswald, B. Sivaselvan, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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