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Hash based Frequent Pattern Mining approach to Text Compression

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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

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Publication details

DOI
10.4108/eai.27-2-2017.152268
OpenAlex
W2593729737
Document type
conference-paper
Language
EN
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