Hash based Frequent Pattern Mining approach to Text Compression

Oswald, C. and Srinidhi, S. and Vishnu, K. Sri and Vishal, T.V. and Sivaselvan, B. (2017) Hash based Frequent Pattern Mining approach to Text Compression. In: First EAI International Conference on Computer Science and Engineering.

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Abstract

The paper explores the compression perspective of Data Mining. Huffman Encoding is enhanced through Frequent Pattern Mining, a non-trivial phase in Association Rule Mining(ARM) technique, in the field of Data Mining. The seminal Apriori algorithm has been modified in such a way that optimal number of p

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 10:51
Last Modified: 17 Apr 2026 17:16
URI: http://eprints.eai.eu/id/eprint/15454

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