Holdings: Granular computing in decision approximation

Granular computing in decision approximation: an application of rough mereology

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Bibliographic Details
Main Author:	Polkowski, Lech (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham [u.a.] Springer 2015
Series:	Intelligent systems reference library 77
Subjects:	Engineering Artificial intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
Online Access:	BHS01 BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online-Ressource (XV, 452 p. 230 illus)
ISBN:	9783319128801
DOI:	10.1007/978-3-319-12880-1

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adam_text	GRANULAR COMPUTING IN DECISION APPROXIMATION / POLKOWSKI, LECH : 2015 TABLE OF CONTENTS / INHALTSVERZEICHNIS SIMILARITY AND GRANULATION MEREOLOGY AND ROUGH MEREOLOGY. ROUGH MEREOLOGICAL GRANULATION LEARNING DATA CLASSIFICATION. CLASSIFIERS IN GENERAL AND IN DECISION SYSTEMS METHODOLOGIES FOR GRANULAR REFLECTIONS COVERING STRATEGIES LAYERED GRANULATION NAIVE BAYES CLASSIFIER ON GRANULAR REFLECTIONS THE CASE OF CONCEPT-DEPENDENT GRANULATION GRANULAR COMPUTING IN THE PROBLEM OF MISSING VALUES GRANULAR CLASSIFIERS BASED ON WEAK ROUGH INCLUSIONS EFFECTS OF GRANULATION ON ENTROPY AND NOISE IN DATA. - CONCLUSIONS APPENDIX. DATA CHARACTERISTICS BEARING ON CLASSIFICATION DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. GRANULAR COMPUTING IN DECISION APPROXIMATION / POLKOWSKI, LECH : 2015 ABSTRACT / INHALTSTEXT THIS BOOK PRESENTS A STUDY IN KNOWLEDGE DISCOVERY IN DATA WITH KNOWLEDGE UNDERSTOOD AS A SET OF RELATIONS AMONG OBJECTS AND THEIR PROPERTIES. RELATIONS IN THIS CASE ARE IMPLICATIVE DECISION RULES AND THE PARADIGM IN WHICH THEY ARE INDUCED IS THAT OF COMPUTING WITH GRANULES DEFINED BY ROUGH INCLUSIONS, THE LATTER INTRODUCED AND STUDIED WITHIN ROUGH MEREOLOGY, THE FUZZIFIED VERSION OF MEREOLOGY. IN THIS BOOK BASIC CLASSES OF ROUGH INCLUSIONS ARE DEFINED AND BASED ON THEM METHODS FOR INDUCING GRANULAR STRUCTURES FROM DATA ARE HIGHLIGHTED. THE RESULTING GRANULAR STRUCTURES ARE SUBJECTED TO CLASSIFYING ALGORITHMS, NOTABLY K—NEAREST NEIGHBORS AND BAYESIAN CLASSIFIERS. EXPERIMENTAL RESULTS ARE GIVEN IN DETAIL BOTH IN TABULAR AND VISUALIZED FORM FOR FOURTEEN DATA SETS FROM UCI DATA REPOSITORY. A STRIKING FEATURE OF GRANULAR CLASSIFIERS OBTAINED BY THIS APPROACH IS THAT PRESERVING THE ACCURACY OF THEM ON ORIGINAL DATA, THEY REDUCE SUBSTANTIALLY THE SIZE OF THE GRANULATED DATA SET AS WELL AS THE SET OF GRANULAR DECISION RULES. THIS FEATURE MAKES THE PRESENTED APPROACH ATTRACTIVE IN CASES WHERE A SMALL NUMBER OF RULES PROVIDING A HIGH CLASSIFICATION ACCURACY IS DESIRABLE. AS BASIC ALGORITHMS USED THROUGHOUT THE TEXT ARE EXPLAINED AND ILLUSTRATED WITH HAND EXAMPLES, THE BOOK MAY ALSO SERVE AS A TEXTBOOK DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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series	Intelligent systems reference library
series2	Intelligent systems reference library
spellingShingle	Polkowski, Lech Granular computing in decision approximation an application of rough mereology Intelligent systems reference library Engineering Artificial intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
title	Granular computing in decision approximation an application of rough mereology
title_auth	Granular computing in decision approximation an application of rough mereology
title_exact_search	Granular computing in decision approximation an application of rough mereology
title_full	Granular computing in decision approximation an application of rough mereology Lech Polkowski ; Piotr Artiemjew
title_fullStr	Granular computing in decision approximation an application of rough mereology Lech Polkowski ; Piotr Artiemjew
title_full_unstemmed	Granular computing in decision approximation an application of rough mereology Lech Polkowski ; Piotr Artiemjew
title_short	Granular computing in decision approximation
title_sort	granular computing in decision approximation an application of rough mereology
title_sub	an application of rough mereology
topic	Engineering Artificial intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
topic_facet	Engineering Artificial intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
url	https://doi.org/10.1007/978-3-319-12880-1 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027978332&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027978332&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
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work_keys_str_mv	AT polkowskilech granularcomputingindecisionapproximationanapplicationofroughmereology AT artiemjewpiotr granularcomputingindecisionapproximationanapplicationofroughmereology

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