A Language-Independent Approach to Classification of Textual File Fragments: Case Study of Persian, English, and Chinese Languages

Author:

Hanis Fatemeh Mansouri1,Khoshvaghti Hamidreza1,Teimouri Mehdi1,Veisi Hadi1

Affiliation:

1. University of Tehran,Department of Network Science and Technology, Faculty of New Sciences and Technologies,Tehran,Iran

Publisher

IEEE

Reference20 articles.

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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