TY  - BOOK
AU  - Gainanov,Damir
TI  - Graphs for Pattern Recognition: Infeasible Systems of Linear Inequalities 
SN  - 9783110481068
AV  - QA295 .G275 2016
PY  - 2016///]
CY  - Berlin, Boston : 
PB  - De Gruyter, 
KW  - Graph theory
KW  - Inequalities (Mathematics)
KW  - Mathematics
KW  - Data Mining
KW  - Graphentheorie
KW  - Kombinatorik
KW  - Lineares Gleichungssystem
KW  - Mustererkennung
KW  - MATHEMATICS / Combinatorics
KW  - bisacsh
N1  - Frontmatter --; Preface --; Contents --; 1. Pattern recognition, infeasible systems of linear inequalities, and graphs --; 2. Complexes, (hyper)graphs, and inequality systems --; 3. Polytopes, positive bases, and inequality systems --; 4. Monotone Boolean functions, complexes, graphs, and inequality systems --; 5. Inequality systems, committees, (hyper)graphs, and alternative covers --; Bibliography --; List of notation --; Index; Open Access
N2  - 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. Contents:PrefacePattern recognition, infeasible systems of linear inequalities, and graphsInfeasible monotone systems of constraintsComplexes, (hyper)graphs, and inequality systemsPolytopes, positive bases, and inequality systemsMonotone Boolean functions, complexes, graphs, and inequality systemsInequality systems, committees, (hyper)graphs, and alternative coversBibliographyList of notationIndex
UR  - https://doi.org/10.1515/9783110481068
UR  - https://www.degruyter.com/isbn/9783110481068
UR  - https://www.degruyter.com/cover/covers/9783110481068.jpg
ER  -