What are the best practices for using lossless data compression in enterprise environments?

This paper examines the performance of a set of lossless data compression algorithm, on different form of text data. A set of selected algorithms are. Compression can be classified as either lossy or lossless. Lossless compression techniques reconstruct the original data from the compressed file without any. Aug 17, 2017 ... There is no doubt that data compression is very important in computer engineering. However, most lossless data compression and decompression ... This paper provides the study of various lossless data compression techniques and compares their performance and efficiency using time and space complexity. Jan 11, 2024 ... In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. A compression algorithm designed for radio astronomy data is developed in this project. Real data from both ALMA and SKA projects is analyzed. May 24, 2011 ... My opinion will be, first decide whether you want to do a lossless compression or a lossy compression, then pick an algorithm to implement. Apr 6, 2019 ... Software for more efficient lossless compression with deep LSTM and Transformer neural networks. Any of these projects, on its own, would be considered a ... Arithmetic encoding (AE) is a lossless algorithm that uses a low number of bits to compress data. It's an entropy-based algorithm. We present a novel method for lossless data compression that aims to get a different performance to those proposed in the last decades to tackle the ...