Rough Sets [[electronic resource] ] : International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17–21, 2019, Proceedings / / edited by Tamás Mihálydeák, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Düntsch, Zbigniew Suraj, Davide Ciucci |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XXII, 550 p. 239 illus., 55 illus. in color.) |
Disciplina | 006.312 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Data mining
Artificial intelligence Arithmetic and logic units, Computer Data Mining and Knowledge Discovery Artificial Intelligence Arithmetic and Logic Structures |
ISBN | 3-030-22815-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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 Profile of Research on Rough Sets. |
Record Nr. | UNISA-996466325803316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Rough Sets : International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17–21, 2019, Proceedings / / edited by Tamás Mihálydeák, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Düntsch, Zbigniew Suraj, Davide Ciucci |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XXII, 550 p. 239 illus., 55 illus. in color.) |
Disciplina |
006.312
511.322 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Data mining
Artificial intelligence Computer arithmetic and logic units Data Mining and Knowledge Discovery Artificial Intelligence Arithmetic and Logic Structures Conjunts aproximats |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-030-22815-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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 Profile of Research on Rough Sets. |
Record Nr. | UNINA-9910337840203321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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