A Language-Independent Approach to Classification of Textual File Fragments: Case Study of Persian, English, and Chinese Languages
Author:
Affiliation:
1. University of Tehran,Department of Network Science and Technology, Faculty of New Sciences and Technologies,Tehran,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9721437/9721438/09721512.pdf?arnumber=9721512
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1. Content-based File Type Identification
2. A survey on machine learning: concept, algorithms and applications;behera;International Journal of Innovative Research in Computer and Communication Engineering,2017
3. Dataset for file fragment classification of textual file formats;hanis;BMC Research Notes,2019
4. GovDoc-L An online intellectual community of documents librarians and other individuals concerned with access to government information
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1. Tasneef: A Fast and Effective Hybrid Representation Approach for Arabic Text Classification;IEEE Access;2024
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