Sentence examples for big data compression methods from inspiring English sources

Table 1 Big data compression methods References Methods Description Strengths Weaknesses Yang et al. [45] Spatiotemporal The proposed method performs online clustering of streaming data by correlating similarities in their time series to share workload in the clusters.

It also presents a detailed taxonomic discussion of big data reduction methods including the network theory, big data compression, dimension reduction, redundancy elimination, data mining, and machine learning methods.

However, there are a few methods developed for big data compression.

This method is claimed to be applicable for big data compression.

Numerous techniques for big data compression are proposed in the literature, including spatiotemporal compression, gzip, anamorphic stretch transform (AST), compressed sensing, parallel compression, sketching, and adaptive compression, to name a few [43, 44, 45].

So many data compression methods are proposed, but less focus on the lossless compression.

There are two major types of scientific data compression methods: lossless and lossy methods.

Open image in new window Fig. 16 Plots showing the compression and decompression speeds of different scientific data compression methods as a function of the compression ratio.

Wavelet based data compression methods have demonstrated superior performance over the conventional interpolative methods.

In fact, compositional methods can be viewed as the reinterpretation of data compression methods, well known in the literature [ 10, 11].

Vector quantization (VQ) is a data compression method.