Information Entropy

Information Entropy is a concept from information theory, which systems are modeled by a transmitter, channel, and receiver. It is a branch of mathematics and computer science which studies the quantification of information. It is broadened to find applications in many other areas, including statistical inference, natural language processing, cryptography generally, networks other than communication networks, quantum computing, plagiarism detection and other forms of data analysis. Information Entropy also used in quantitative analysis, and can help predict the probability that a security will move in a certain direction or according to a certain pattern.