Data Compression Considering Text Files

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Provided by: International Journal of Computer Applications
Topic: Big Data
Format: PDF
Lossless text data compression is an important field as it significantly reduces storage requirement and communication cost. In this paper, the focus is directed mainly to different file compression coding techniques and comparisons between them. Some memory efficient encoding schemes are analyzed and implemented in this paper. They are: shannon fano coding, huffman coding, repeated huffman coding and run-length coding. A new algorithm \"Modified run-length coding\" is also proposed and compared with the other algorithms.
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