Computer Science Terms

Computer Science Terminology: Composite Structure: The size of a typical software system means that you need to divide it into manageable parts of this combination. Abstraction of the process of building a system using simpler components or components: A process ignoring problem-independent details emphasizes immediate need. Abstraction ignores some distinguished detail data. Program information function: program processing data, object processing: most abstract explanation of the basic components of object-oriented system: basic information the program can handle

Block chains are essentially a structure for storing data. In computer science terminology, it is often called a data structure. Like other data structures, block chains are a central component of computer systems. It works so decently that it is very unique. Most systems we use everyday store data in a central location, usually large cloud providers (Amazon, Google, Microsoft etc). That is, especially in systems that record transactions, all transaction data is recorded and is the only visible operator that can operate that particular system.

The term "data science" has appeared in various contexts over the past thirty years, but it has become the established term only recently. In early use, it was used as an alternative to computer science by Peter Naur in 1960. Naur later introduced the term "data". In 1974, Nauru announced "a brief survey of computer methods". And it freely used the term data science in the study of modern data processing methods used in a wide range of applications. In 1996, members of the International Classification Association Federation (IFCS) held a meeting once every two years in Kobe. Here, the term data science was first included in the title of the meeting ("Data Science, Classification and Related Methods"). This was introduced at Tomoo Hayashi's round table meeting.