N-ary Relations for Logical Analysis of Data and Knowledge

Nonfiction, Science & Nature, Mathematics, Mathematical Analysis, Business & Finance, Industries & Professions, Information Management
Cover of the book N-ary Relations for Logical Analysis of Data and Knowledge by Alexander Fridman, Boris Kulik, IGI Global
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Author: Alexander Fridman, Boris Kulik ISBN: 9781522527848
Publisher: IGI Global Publication: November 30, 2017
Imprint: Information Science Reference Language: English
Author: Alexander Fridman, Boris Kulik
ISBN: 9781522527848
Publisher: IGI Global
Publication: November 30, 2017
Imprint: Information Science Reference
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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