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Rough Sets / Mihálydeák, Tamás ; Min, Fan ; Wang, Guoyin ; Banerjee, Mohua ; Düntsch, Ivo ; Suraj, Zbigniew ; Ciucci, Davide
Título : Rough Sets : International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17–21, 2019, Proceedings / Tipo de documento: documento electrónico Autores: Mihálydeák, Tamás, ; Min, Fan, ; Wang, Guoyin, ; Banerjee, Mohua, ; Düntsch, Ivo, ; Suraj, Zbigniew, ; Ciucci, Davide, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXII, 550 p. 239 ilustraciones, 55 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-22815-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento de datos Inteligencia artificial Unidades aritméticas y lógicas informáticas. Minería de datos y descubrimiento de conocimientos Estructuras aritméticas y lógicas Clasificación: 6.312 Resumen: Este LNAI 11499 constituye las actas de la Conferencia Conjunta Internacional sobre Conjuntos Rough, IJCRS 2019, celebrada en Debrecen, Hungría, en junio de 2019. Los 41 artículos completos fueron cuidadosamente revisados y seleccionados entre 71 presentaciones. Las conferencias IJCRS tienen como objetivo reunir a expertos de universidades y centros de investigación, así como de la industria, que representen campos de investigación en los que los aspectos teóricos y aplicativos de la teoría aproximada de conjuntos ya encuentran o pueden encontrar uso. Los artículos están agrupados en secciones temáticas sobre modelos y métodos básicos de conjuntos aproximados; métodos relacionados e hibridación; Areas de aplicación. Nota de contenido: Core Rough Set Models and Methods -- An Application of Bayesian Confirmation Theory for Three-Way Decision -- Concept Approximation Based on Rough Sets and Judgment -- Rough Sets and the Algebra of Conditional Logic -- Rough Sets Defined by Multiple Relations -- On the Roughly Continuous Real Functions -- On topologies defined by binary relations in rough sets -- Iterative Set Approximations Based on Tolerance Relation -- Approximation Based on Representatives -- Local search for attribute reduction -- Rough Matroids Based on Dual Approximation Operators -- Studies on Reducing the Necessary Data Size for Rule Induction from the Decision Table by STRIM -- Rough Approximations on Two Universes under a Mapping -- Rough Sets Based on Possible Indiscernibility Relations in Incomplete Information Tables with Continuous Values -- The Prototype View of Concepts -- A Three-Way Clustering Algorithm via Decomposing Similarity Matrices for Multi-View Data with Noise -- Related Methods and Hybridization -- A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators -- Learning Multi-granular Features for Harvesting Knowledge from Free Text -- Building a Framework of Rough Inclusion Functions by Means of Computerized Proof Assistant -- Membrane Systems and Multiset Approximation: The Cases of Inner and Boundary Rule Application -- Soft Petri Net -- Approximations induced by tolerance relations -- Three-Way Classification: Ambiguity and Abstention in Machine Learning -- Concepts Approximation Through Dialogue With User -- A Dynamic Dominance-based Rough Set Approach for Processing Ordered Data -- CSLI: Cost-sensitive collaborative filtering with local information embedding -- Attribute reduction based on optimistic multi-granulation information Systems -- Constructing the Optimal Approximation Sets of Rough Sets in Multi-granularity Spaces -- Discovering Flow Graphs from Data Tables Using the Classification and Prediction Software System (CLAPSS) -- Methods to Edit Multi-label Training Sets Using Rough Sets Theory -- Areas of Applications -- The Impact of Rough Set Conferences -- Multivariate Ovulation Window Detection at OvuFriend -- Incremental Sequential Three-Way Decision Using a Deep Stacked Autoencoder -- Three-way Decision Collaborative Recommendation Algorithm Based on User Reputation -- Multi-Graded Hybrid MRDM Model for Assisting Financial Performance Evaluation Decisions: A Preliminary Work -- 3D Face Recognition Based on Hybrid Data -- Rough Sets and Local Texture Features for Diagnosis of Connective Tissue Disorders -- Developing Pricing Models for Online Art Sales Using Text Analytics -- Hardware Implementation on Field Programmable Gate Array of Two-Stage Algorithm for Rough Set Reduct Generation -- A Multi-Granularity Representation Learning Framework for User Identification Across Social Networks -- A Robust Long-term Pedestrian Tracking-by-Detection Algorithm Based on Three-way Decision -- A Bibliometric Profileof Research on Rough Sets. Tipo de medio : Computadora Summary : This LNAI 11499 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2019, held in Debrecen, Hungary, in June 2019. The 41 full papers were carefully reviewed and selected from 71 submissions. The IJCRS conferences aim at bringing together experts from universities and research centers as well as the industry representing fields of research in which theoretical and applicational aspects of rough set theory already find or may potentially find usage. The papers are grouped in topical sections on core rough set models and methods; related methods and hybridization; areas of application. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Rough Sets : International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17–21, 2019, Proceedings / [documento electrónico] / Mihálydeák, Tamás, ; Min, Fan, ; Wang, Guoyin, ; Banerjee, Mohua, ; Düntsch, Ivo, ; Suraj, Zbigniew, ; Ciucci, Davide, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXII, 550 p. 239 ilustraciones, 55 ilustraciones en color.
ISBN : 978-3-030-22815-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Procesamiento de datos Inteligencia artificial Unidades aritméticas y lógicas informáticas. Minería de datos y descubrimiento de conocimientos Estructuras aritméticas y lógicas Clasificación: 6.312 Resumen: Este LNAI 11499 constituye las actas de la Conferencia Conjunta Internacional sobre Conjuntos Rough, IJCRS 2019, celebrada en Debrecen, Hungría, en junio de 2019. Los 41 artículos completos fueron cuidadosamente revisados y seleccionados entre 71 presentaciones. Las conferencias IJCRS tienen como objetivo reunir a expertos de universidades y centros de investigación, así como de la industria, que representen campos de investigación en los que los aspectos teóricos y aplicativos de la teoría aproximada de conjuntos ya encuentran o pueden encontrar uso. Los artículos están agrupados en secciones temáticas sobre modelos y métodos básicos de conjuntos aproximados; métodos relacionados e hibridación; Areas de aplicación. Nota de contenido: Core Rough Set Models and Methods -- An Application of Bayesian Confirmation Theory for Three-Way Decision -- Concept Approximation Based on Rough Sets and Judgment -- Rough Sets and the Algebra of Conditional Logic -- Rough Sets Defined by Multiple Relations -- On the Roughly Continuous Real Functions -- On topologies defined by binary relations in rough sets -- Iterative Set Approximations Based on Tolerance Relation -- Approximation Based on Representatives -- Local search for attribute reduction -- Rough Matroids Based on Dual Approximation Operators -- Studies on Reducing the Necessary Data Size for Rule Induction from the Decision Table by STRIM -- Rough Approximations on Two Universes under a Mapping -- Rough Sets Based on Possible Indiscernibility Relations in Incomplete Information Tables with Continuous Values -- The Prototype View of Concepts -- A Three-Way Clustering Algorithm via Decomposing Similarity Matrices for Multi-View Data with Noise -- Related Methods and Hybridization -- A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators -- Learning Multi-granular Features for Harvesting Knowledge from Free Text -- Building a Framework of Rough Inclusion Functions by Means of Computerized Proof Assistant -- Membrane Systems and Multiset Approximation: The Cases of Inner and Boundary Rule Application -- Soft Petri Net -- Approximations induced by tolerance relations -- Three-Way Classification: Ambiguity and Abstention in Machine Learning -- Concepts Approximation Through Dialogue With User -- A Dynamic Dominance-based Rough Set Approach for Processing Ordered Data -- CSLI: Cost-sensitive collaborative filtering with local information embedding -- Attribute reduction based on optimistic multi-granulation information Systems -- Constructing the Optimal Approximation Sets of Rough Sets in Multi-granularity Spaces -- Discovering Flow Graphs from Data Tables Using the Classification and Prediction Software System (CLAPSS) -- Methods to Edit Multi-label Training Sets Using Rough Sets Theory -- Areas of Applications -- The Impact of Rough Set Conferences -- Multivariate Ovulation Window Detection at OvuFriend -- Incremental Sequential Three-Way Decision Using a Deep Stacked Autoencoder -- Three-way Decision Collaborative Recommendation Algorithm Based on User Reputation -- Multi-Graded Hybrid MRDM Model for Assisting Financial Performance Evaluation Decisions: A Preliminary Work -- 3D Face Recognition Based on Hybrid Data -- Rough Sets and Local Texture Features for Diagnosis of Connective Tissue Disorders -- Developing Pricing Models for Online Art Sales Using Text Analytics -- Hardware Implementation on Field Programmable Gate Array of Two-Stage Algorithm for Rough Set Reduct Generation -- A Multi-Granularity Representation Learning Framework for User Identification Across Social Networks -- A Robust Long-term Pedestrian Tracking-by-Detection Algorithm Based on Three-way Decision -- A Bibliometric Profileof Research on Rough Sets. Tipo de medio : Computadora Summary : This LNAI 11499 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2019, held in Debrecen, Hungary, in June 2019. The 41 full papers were carefully reviewed and selected from 71 submissions. The IJCRS conferences aim at bringing together experts from universities and research centers as well as the industry representing fields of research in which theoretical and applicational aspects of rough set theory already find or may potentially find usage. The papers are grouped in topical sections on core rough set models and methods; related methods and hybridization; areas of application. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Thriving Rough Sets / Wang, Guoyin ; Skowron, Andrzej ; Yao, Yiyu ; Ślęzak, Dominik ; Polkowski, Lech
Título : Thriving Rough Sets : 10th Anniversary - Honoring Professor Zdzisław Pawlak's Life and Legacy & 35 Years of Rough Sets Tipo de documento: documento electrónico Autores: Wang, Guoyin, ; Skowron, Andrzej, ; Yao, Yiyu, ; Ślęzak, Dominik, ; Polkowski, Lech, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: X, 439 p. 52 ilustraciones, 19 ilustraciones en color. ISBN/ISSN/DL: 978-3-319-54966-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia Computacional Inteligencia artificial Clasificación: 006.3 Resumen: Este libro especial está dedicado a la memoria del profesor Zdzisław Pawlak, el padre de la teoría de conjuntos aproximados, con el fin de conmemorar tanto el décimo aniversario de su fallecimiento como los 35 años de teoría de conjuntos aproximados. El libro consta de 20 capítulos distribuidos en cuatro secciones, que se centran a su vez en una revisión histórica del profesor Zdzisław Pawlak y la teoría aproximada de conjuntos; una revisión de la teoría de conjuntos aproximados; el estado del arte de la teoría aproximada de conjuntos; y avances importantes en enfoques de minería de datos basados en conjuntos aproximados. Además de las contribuciones del profesor Pawlak a la teoría de conjuntos aproximados, también se incluyen otras áreas que le interesaban. Además, también se presentan estudios teóricos recientes y avances en aplicaciones. El libro ofrecerá una guía útil para investigadores en ingeniería del conocimiento y minería de datos al sugerir nuevos enfoques para resolver los problemas que encuentren. Nota de contenido: Part 1: Historical Review of Professor Zdzisław Pawłak and Rough Set -- The Born and Growing of Chinese Rough Set Community with Help of Professor Zdzisław Pawłak -- Zdzisław Pawłak as I Saw Him and Remember Him Now -- Recent Development of Rough Computing: A Scientometrics View -- Part 2: Review of Rough Set Research -- Rough Sets, Rough Mereology and Uncertainty -- Rough Sets in Machine Learning: A Review -- Application of Tolerance Rough Sets in Structured and Unstructured Text Categorization: A Survey -- Medical Diagnosis: Rough Set View -- Rough Set Analysis of Imprecise Classes -- Pawłak's Many Valued Information System, Non-deterministic Information System, and a Proposal of New Topics on Information Incompleteness Toward the Actual Application -- Part 3: Rough Set Theory -- From Information Systems to Interactive Information Systems -- Back to the Beginnings: Pawłak's Definitions of the Terms Information System and Rough Set -- Knowledge and Consequence in AC Semantics for General Rough Sets -- Measuring Soft Roughness of Soft Rough Sets Induced by Covering -- Rough search of vague knowledge -- Vagueness and Uncertainty: An F-Rough Set Perspective -- Directions of Use of the Pawłak's Approach to Conflict Analysis -- Lattice Structure of Variable Precision Rough Sets -- Part 4: Rough Set Based Data Mining -- Mining for Actionable Knowledge in Tinnitus Datasets -- Rough-Granular Computing for Relational Data -- The Boosting and Bootstrap Ensembles for the Pair Classifier Based on the Dual Indiscernibility Matrix. Tipo de medio : Computadora Summary : This special book is dedicated to the memory of Professor Zdzisław Pawlak, the father of rough set theory, in order to commemorate both the 10th anniversary of his passing and 35 years of rough set theory. The book consists of 20 chapters distributed into four sections, which focus in turn on a historical review of Professor Zdzisław Pawlak and rough set theory; a review of the theory of rough sets; the state of the art of rough set theory; and major developments in rough set based data mining approaches. Apart from Professor Pawlak's contributions to rough set theory, other areas he was interested in are also included. Moreover, recent theoretical studies and advances in applications are also presented. The book will offer a useful guide for researchers in Knowledge Engineering and Data Mining by suggesting new approaches to solving the problems they encounter. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Thriving Rough Sets : 10th Anniversary - Honoring Professor Zdzisław Pawlak's Life and Legacy & 35 Years of Rough Sets [documento electrónico] / Wang, Guoyin, ; Skowron, Andrzej, ; Yao, Yiyu, ; Ślęzak, Dominik, ; Polkowski, Lech, . - 1 ed. . - [s.l.] : Springer, 2017 . - X, 439 p. 52 ilustraciones, 19 ilustraciones en color.
ISBN : 978-3-319-54966-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia Computacional Inteligencia artificial Clasificación: 006.3 Resumen: Este libro especial está dedicado a la memoria del profesor Zdzisław Pawlak, el padre de la teoría de conjuntos aproximados, con el fin de conmemorar tanto el décimo aniversario de su fallecimiento como los 35 años de teoría de conjuntos aproximados. El libro consta de 20 capítulos distribuidos en cuatro secciones, que se centran a su vez en una revisión histórica del profesor Zdzisław Pawlak y la teoría aproximada de conjuntos; una revisión de la teoría de conjuntos aproximados; el estado del arte de la teoría aproximada de conjuntos; y avances importantes en enfoques de minería de datos basados en conjuntos aproximados. Además de las contribuciones del profesor Pawlak a la teoría de conjuntos aproximados, también se incluyen otras áreas que le interesaban. Además, también se presentan estudios teóricos recientes y avances en aplicaciones. El libro ofrecerá una guía útil para investigadores en ingeniería del conocimiento y minería de datos al sugerir nuevos enfoques para resolver los problemas que encuentren. Nota de contenido: Part 1: Historical Review of Professor Zdzisław Pawłak and Rough Set -- The Born and Growing of Chinese Rough Set Community with Help of Professor Zdzisław Pawłak -- Zdzisław Pawłak as I Saw Him and Remember Him Now -- Recent Development of Rough Computing: A Scientometrics View -- Part 2: Review of Rough Set Research -- Rough Sets, Rough Mereology and Uncertainty -- Rough Sets in Machine Learning: A Review -- Application of Tolerance Rough Sets in Structured and Unstructured Text Categorization: A Survey -- Medical Diagnosis: Rough Set View -- Rough Set Analysis of Imprecise Classes -- Pawłak's Many Valued Information System, Non-deterministic Information System, and a Proposal of New Topics on Information Incompleteness Toward the Actual Application -- Part 3: Rough Set Theory -- From Information Systems to Interactive Information Systems -- Back to the Beginnings: Pawłak's Definitions of the Terms Information System and Rough Set -- Knowledge and Consequence in AC Semantics for General Rough Sets -- Measuring Soft Roughness of Soft Rough Sets Induced by Covering -- Rough search of vague knowledge -- Vagueness and Uncertainty: An F-Rough Set Perspective -- Directions of Use of the Pawłak's Approach to Conflict Analysis -- Lattice Structure of Variable Precision Rough Sets -- Part 4: Rough Set Based Data Mining -- Mining for Actionable Knowledge in Tinnitus Datasets -- Rough-Granular Computing for Relational Data -- The Boosting and Bootstrap Ensembles for the Pair Classifier Based on the Dual Indiscernibility Matrix. Tipo de medio : Computadora Summary : This special book is dedicated to the memory of Professor Zdzisław Pawlak, the father of rough set theory, in order to commemorate both the 10th anniversary of his passing and 35 years of rough set theory. The book consists of 20 chapters distributed into four sections, which focus in turn on a historical review of Professor Zdzisław Pawlak and rough set theory; a review of the theory of rough sets; the state of the art of rough set theory; and major developments in rough set based data mining approaches. Apart from Professor Pawlak's contributions to rough set theory, other areas he was interested in are also included. Moreover, recent theoretical studies and advances in applications are also presented. The book will offer a useful guide for researchers in Knowledge Engineering and Data Mining by suggesting new approaches to solving the problems they encounter. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]