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N-ary Relations for Logical Analysis of Data and Knowledge - Boris Kulik, ALEXANDER FRIDMAN

N-ary Relations for Logical Analysis of Data and Knowledge

Buch | Hardcover
334 Seiten
2017
IGI Global (Verlag)
978-1-5225-2782-4 (ISBN)
CHF 389,30 inkl. MwSt
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Provides a detailed study of the mathematical techniques currently involved in the progression of information technology fields. Featuring relevant topics that include algebraic sets, deductive analysis, defeasible reasoning, and probabilistic modelling, this publication is ideal for academics, students, and researchers interested in the latest research in the information technology field.
Mathematics has been used as a tool in logistical reasoning for centuries. Examining how specific mathematic structures can aid in data and knowledge management helps determine how to efficiently and effectively process more information in these fields.

N-ary Relations for Logical Analysis of Data and Knowledge is a critical scholarly reference source that provides a detailed study of the mathematical techniques currently involved in the progression of information technology fields. Featuring relevant topics that include algebraic sets, deductive analysis, defeasible reasoning, and probabilistic modeling, this publication is ideal for academicians, students, and researchers who are interested in staying apprised of the latest research in the information technology field.
Erscheinungsdatum
Verlagsort Hershey
Sprache englisch
Maße 178 x 254 mm
Gewicht 800 g
Themenwelt Mathematik / Informatik Informatik
Mathematik / Informatik Mathematik Analysis
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
ISBN-10 1-5225-2782-6 / 1522527826
ISBN-13 978-1-5225-2782-4 / 9781522527824
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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