Approaches range from classical line‐simplification algorithms to advanced semantic compression methods that incorporate clustering and multi-resolution analysis.

Data Compression Strategies Table 27-1 shows two different ways that data compression algorithms can be categorized. In (a), the methods have been classified as either lossless or lossy . A lossless ...

In this Invited Talk from SC16, Tamara Kolda from Sandia presents: Parallel Multiway Methods for Compression of Massive Data and Other Applications. “Scientists are drowning in data. The scientific ...

Optimizing data compression methods has become more critical than ever for cloud storage, data management, and streaming applications. Working with compressed data reduces network bandwidth, data ...

All test compression methods are devised to solve a simple economics problem — reducing the cost of test and maximizing the profit from the manufactured ICs. Therefore, to evaluate each test ...

Data compression methods are thus of the utmost importance, as they can boost the efficiency of devices and communications, making users less reliant on cloud data services and external storage ...

What does data compression actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

ZeoSync says its compression technology can make data many times smaller than existing methods, and can even be used to efficiently compress "virtually random" data.