N-ary Relations for Logical Analysis of Data and Knowledge

N-ary Relations for Logical Analysis of Data and Knowledge

Boris Kulik (Russian Academy of Science, Russia) and Alexander Fridman (Russian Academy of Science, Russia)
Release Date: November, 2017|Copyright: © 2018 |Pages: 297
DOI: 10.4018/978-1-5225-2782-4
ISBN13: 9781522527824|ISBN10: 1522527826|EISBN13: 9781522527831
Hardcover:
Available
$225.00
TOTAL SAVINGS: $225.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Hardcover:
Available
$225.00
TOTAL SAVINGS: $225.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
Available
$225.00
TOTAL SAVINGS: $225.00
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
E-Book:
Available
$225.00
TOTAL SAVINGS: $225.00
Benefits
  • Immediate access after purchase
  • No DRM
  • PDF download
  • Receive a 10% Discount on eBooks
Hardcover +
E-Book:
Available
$270.00
TOTAL SAVINGS: $270.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
Hardcover +
E-Book:
Available
$270.00
TOTAL SAVINGS: $270.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Immediate access after purchase
  • No DRM
  • PDF download
OnDemand:
(Individual Chapters)
Available
$29.50
TOTAL SAVINGS: $29.50
Benefits
  • Purchase individual chapters from this book
  • Immediate PDF download after purchase or access through your personal library
Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Algebraic Sets
  • Artificial Intelligence Systems
  • Data Management
  • Deductive Analysis
  • Defeasible Reasoning
  • Logical Inference Systems
  • Probabilistic Logic
  • Probabilistic Modeling
Table of Contents
Search this Book:
Reset
Editor/Author Biographies
Boris Kulik graduated from the Leningrad Mining Institute and worked for the USSR Ministry of Geology from 1971 to 1989 in automation of drilling control. Then he took up research on logic, mathematics and artificial intelligence and got his PhD in 1996. Since 1997, Boris Kulik has worked in the St.-Petersburg Institute of Problems in Machine Science of the Russian Academy of Sciences. He got his Doctor of Science (Physics and Mathematics) degree in 2008. Boris Kulik taught mathematics at the St.-Petersburg University of Culture and Art. He is a member of the Russian Association for Artificial Intelligence He has published 120 scientific papers including 5 monographs.
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.