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dc.contributor.authorGainanov, Damir
dc.date.accessioned2021-01-12T04:31:59Z
dc.date.available2021-01-12T04:31:59Z
dc.date.issued2016
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/46036
dc.description.abstractThis 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.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TV Agriculture & farming
dc.subject.otherComputers
dc.subject.otherArtificial Intelligence
dc.subject.otherComputer Vision & Pattern Recognition
dc.subject.otherTechnology & Engineering
dc.subject.otherAgriculture
dc.titleGraphs for Pattern Recognition
dc.title.alternativeInfeasible Systems of Linear Inequalities
dc.typebook
oapen.identifier.doihttps://doi.org/10.1515/9783110481068
oapen.relation.isPublishedBy2b386f62-fc18-4108-bcf1-ade3ed4cf2f3
oapen.relation.isFundedByb818ba9d-2dd9-4fd7-a364-7f305aef7ee9
oapen.collectionKnowledge Unlatched (KU)
oapen.imprintDe Gruyter
oapen.identifierhttps://openresearchlibrary.org/viewer/a80371dd-766f-4802-9ff9-c024f7263329
oapen.identifier.isbn9783110481068


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