A Novel Feature Hashing for Text Mining
DOI:
https://doi.org/10.31578/jtst.v2i1.54Abstract
This study focuses on the second group of hashing algorithms and criticizes the hashing algorithms using Feistel Networkwhich are widely utilized in text mining studies. We propose a new approach which is mainly built on the substitution boxes (sboxes),which is in the core of all Feistel Networks and processes the text faster than the other implementations.Downloads
Published
09-01-2014
How to Cite
MERT, C. (2014). A Novel Feature Hashing for Text Mining. Journal of Technical Science and Technologies, 2(1), 37–40. https://doi.org/10.31578/jtst.v2i1.54
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