Catholic University of Zimbabwe Library
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Graphs for Pattern Recognition (Record no. 32369)

MARC details
000 -LEADER
fixed length control field 02682nam a22003617a 4500
003 - CONTROL NUMBER IDENTIFIER
control field KnowledgeUnlatched
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20210303104719.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr u||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210129p20162021xx o u00| u eng d
037 ## - SOURCE OF ACQUISITION
Institution to which field applies BiblioBoard
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783110481068
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1515/9783110481068
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier https://library.biblioboard.com/ext/api/media/a80371dd-766f-4802-9ff9-c024f7263329/assets/thumbnail.jpg
040 ## - CATALOGING SOURCE
Original cataloging agency ScCtBLL
Transcribing agency ScCtBLL
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gainanov, Damir
Relator term author.
245 00 - TITLE STATEMENT
Title Graphs for Pattern Recognition
Remainder of title Infeasible Systems of Linear Inequalities /
Statement of responsibility, etc. Damir Gainanov.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer De Gruyter,
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (1 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Access copy available to the general public.
Standardized terminology for access restriction Unrestricted
Source of term star
520 ## - SUMMARY, ETC.
Summary, etc. This monograph deals with mathematical constructions that are foundational in such an important area of data mining as pattern recognition. By using combinatorial and graph theoretic techniques, a closer look is taken at infeasible systems of linear inequalities, whose generalized solutions act as building blocks of geometric decision rules for pattern recognition. Infeasible systems of linear inequalities prove to be a key object in pattern recognition problems described in geometric terms thanks to the committee method. Such infeasible systems of inequalities represent an important special subclass of infeasible systems of constraints with a monotonicity property - systems whose multi-indices of feasible subsystems form abstract simplicial complexes (independence systems), which are fundamental objects of combinatorial topology. The methods of data mining and machine learning discussed in this monograph form the foundation of technologies like big data and deep learning, which play a growing role in many areas of human-technology interaction and help to find solutions, better solutions and excellent solutions.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on print version record.
590 ## - LOCAL NOTE (RLIN)
Local note KU Select 2019: STEM Backlist Books
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Technology & Engineering / Agriculture
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
Source of heading or term bisacsh
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
758 ## -
-- Is found in:
-- Knowledge Unlatched
-- https://openresearchlibrary.org/module/2774bc74-146a-484f-a7ba-ab1d6a09bbfb
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://openresearchlibrary.org/content/a80371dd-766f-4802-9ff9-c024f7263329">https://openresearchlibrary.org/content/a80371dd-766f-4802-9ff9-c024f7263329</a>
Public note View this content on Open Research Library.
-- 0
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Date last seen Uniform Resource Identifier Price effective from Koha item type
          Digital Library Digital Library Online Access 03.03.2021   03.03.2021 https://openresearchlibrary.org/content/a80371dd-766f-4802-9ff9-c024f7263329 03.03.2021 eBook

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