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The Publisher Item Identifier (PII) is a unique identifier used by a number of scientific journal publishers to identify documents. [1] It uses the pre-existing ISSN or ISBN of the publication in question, and adds a character for source publication type, an item number, and a check digit.
An integrated outline is a helpful step in the process of organizing and writing a scholarly paper (literature review, research paper, thesis or dissertation). When completed the integrated outline contains the relevant scholarly sources (author's last name, publication year, page number if quote) for each section in the outline.
[8] In 2003, Borking, Blarkom and Olk reviewed the technologies from a data protection perspective in their Handbook of privacy enhancing technologies. [1] In 2007, Fritsch published an historic, taxonomic and practical overview of contemporary privacy-enhancing technology for the Internet for the research project PETWeb. [9]
Leonhard Euler introduced the function in 1763. [7] [8] [9] However, he did not at that time choose any specific symbol to denote it.In a 1784 publication, Euler studied the function further, choosing the Greek letter π to denote it: he wrote πD for "the multitude of numbers less than D, and which have no common divisor with it". [10]
The gathering of personally identifiable information (PII) refers to the collection of public and private personal data that can be used to identify individuals for various purposes, both legal and illegal. PII gathering is often seen as a privacy threat by data owners, while entities such as technology companies, governments, and organizations ...
Phi; the symbol used for integrated information. Integrated information theory (IIT) proposes a mathematical model for the consciousness of a system. It comprises a framework ultimately intended to explain why some physical systems (such as human brains) are conscious, [1] and to be capable of providing a concrete inference about whether any physical system is conscious, to what degree, and ...
A systematic review of fourteen distinct re-identification attacks found "a high re-identification rate […] dominated by small-scale studies on data that was not de-identified according to existing standards". [6] De-identification is adopted as one of the main approaches toward data privacy protection. [7]
In statistics, the phi coefficient (or mean square contingency coefficient and denoted by φ or r φ) is a measure of association for two binary variables.. In machine learning, it is known as the Matthews correlation coefficient (MCC) and used as a measure of the quality of binary (two-class) classifications, introduced by biochemist Brian W. Matthews in 1975.