Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Rough Set and Knowledge Technology [[electronic resource] ] : 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011, Proceedings / / edited by JingTao Yao, Sheela Ramanna, Guoyin Wang, Zbigniew Suraj
| Rough Set and Knowledge Technology [[electronic resource] ] : 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011, Proceedings / / edited by JingTao Yao, Sheela Ramanna, Guoyin Wang, Zbigniew Suraj |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XVIII, 771 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Database management Mathematical logic Computers Pattern recognition Artificial Intelligence Data Mining and Knowledge Discovery Database Management Mathematical Logic and Formal Languages Computation by Abstract Devices Pattern Recognition |
| ISBN | 3-642-24425-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465564703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Rough Sets : International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part I
| Rough Sets : International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part I |
| Autore | Hu Mengjun |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (384 pages) |
| Altri autori (Persone) |
CornelisChris
ZhangYan LingrasPawan ŚlęzakDominik YaoJingTao |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-031-65665-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- IRSS President Forum Talks -- The Contributions of Rough Set Theory to Artificial Intelligence -- From Deterministic to Probabilistic Rough Sets -- Keynote Talks -- Analysis of Healthcare Data - Explainability Using Rough Sets and LLMs -- Generative Information Retrieval: RAG and GAR -- On Optimal Approximations for Rough Sets -- Self-organizing Cyber-physical Systems Development with Rough Sets -- Rough Set Theory and Concept Lattices to Solve Fuzzy Relation Equations -- Complex Collective Systems - Examples of Intelligent Particles Interactions -- Contents - Part I -- Contents - Part II -- Rough Set Models and Foundations -- Mapper-Based Rough Sets -- 1 Introduction -- 2 Preliminaries -- 3 Generating Coverings with the Mapper Algorithm -- 3.1 The Mapper Algorithm -- 3.2 A Simple Example -- 3.3 Effect of the Lens Function -- 4 Application on Benchmark Datasets -- 4.1 Iris Dataset -- 4.2 Wine Dataset -- 4.3 Breast Cancer Dataset -- 5 Conclusion and Future Work -- References -- On Tolerance-Based Rough Set Operators and Their Covering Generalizations -- 1 Introduction -- 2 Elements of Rough Set Theory -- 3 Tolerance Rough Sets -- 4 Tolerance-Granular Rough Sets -- 5 Conclusions -- References -- Parametrized -Decision Valuation for Variable Precision Rough Set Model -- 1 Introduction -- 2 VPRS Model -- 3 Decision Valuation and Decision Reduct -- 4 VPRS Model Versus a Parametrized -Decision Valuation -- 5 Properties of Decision Valuation Representing VPRS Model -- 6 Conclusion -- References -- Rough Algebraic Semantics of Concepts in a Distributed Cognition Perspective -- 1 Introduction -- 2 Some Background -- 3 CUD-Approximations -- 4 Pi-Groupoids -- 4.1 Pi-Groupoidal Approximations -- 4.2 Abstract Example -- 5 Pi-Groupoidal Algebraic Semantics -- 6 Interpretation and Directions -- References.
Description Logic for Rough Concepts -- 1 Introduction -- 2 Preliminaries -- 2.1 Basic Lattice-Based Modal Logic and Its Polarity-Based Semantics -- 2.2 Rough Concepts -- 2.3 Description Logic LE-ALC -- 3 Description Logic for Rough Concepts and Tableaux Algorithm for It -- 3.1 Tableaux Algorithm for LE-ALCR ABoxes -- 4 Soundness -- 5 Completeness -- 6 TBox Consistency and Extensions of LE-ALCR -- 6.1 Tableaux Algorithm for TBox Axioms -- 6.2 Extending LE-ALCR with Generated Concepts -- 6.3 Extending LE-ALCR with Feature-Pair Inconsistencies -- 7 Example -- 8 Conclusion and Future Work -- References -- Rule Induction and Machine Learning -- Greedy Algorithm for Construction of Deterministic Decision Trees for Conventional Decision Tables from Closed Classes -- 1 Introduction -- 2 Main Definitions and Notation -- 2.1 Decision Tables -- 2.2 Deterministic Decision Trees -- 2.3 Complexity Measures -- 2.4 Parameters of Decision Trees and Tables -- 3 Main Results -- 4 Auxiliary Statements -- 5 Proofs of Theorems 2 and 3 -- 6 Conclusions -- References -- Study of Dependency Degree and Bayesian Networks for Conflict Scenarios -- 1 Introduction -- 2 The Dependency Degree of Attributes -- 3 Causal Discovery and Bayesian Networks -- 4 Parliamentary Elections in Poland in 2023 -- 5 Conclusion -- References -- Consideration of Detecting Data and Functional Dependency in Tabular Data with Missing Values by the Obtained Rules -- 1 Introduction and Background -- 2 Detection of Data and Functional Dependency Using the Obtained Rules -- 2.1 Strict Dependency (no Inconsistency) in DIS -- 2.2 Weakened Dependency (with Inconsistency) in DIS -- 2.3 The Worst and the Best Strict Dependency in NIS -- 3 Calculation of the Degree of Dependency -- 4 Dependency for Another Decision Attribute -- 5 Concluding Remarks -- References. Distance-Based Fuzzy-Rough Sets and Their Application to the Classification Problem -- 1 Introduction -- 2 Preliminaries -- 2.1 Distances -- 2.2 Fuzzy Set Theory and Fuzzy Logic -- 2.3 Fuzzy-Rough Set Theory -- 3 Distance-Based Fuzzy-Rough Sets -- 4 Classification Problem -- 4.1 Classification as Approximation of Concepts -- 4.2 Crisp and Fuzzy Interpretations of Training Data -- 4.3 Approximating Concepts Using Distance-Based (,) and (S,T) Fuzzy-Rough Sets -- 4.4 Thresholding Property and Region of No Information (RONI) -- 5 Geometry of Approximation -- 5.1 Finite Generators -- 5.2 Infinite Generators -- 6 Naive Classifiers -- 6.1 Decision Regions and SVM -- 7 Experiments -- 8 Conclusion and Future Work -- References -- Dealing with Missing Values Meaning Unknown in Probabilistic Approximations -- 1 Introduction -- 2 Rough Approximations and Probabilistic Approximations -- 3 Probabilistic Approximations in Incomplete Data Tables -- 4 Probabilistic Approximations Based on Possible World Semantics -- 4.1 Possible Tables and Their Indiscernibility Relations -- 4.2 Equivalence Classes in Possible Tables -- 4.3 Aggregation of Indiscernibility Relations in Possible Tables -- 4.4 Lower and Upper Bounds of Probabilistic Approximations -- 5 Conclusions -- References -- On Complexity of Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-Valued Decisions from Closed Classes -- 1 Introduction -- 2 Main Definitions and Notation -- 2.1 Decision Tables -- 2.2 Deterministic and Nondeterministic Decision Trees -- 2.3 Complexity Measures -- 2.4 Parameters of Decision Trees and Tables -- 3 Main Results -- 3.1 Function F,A -- 3.2 Function G,A -- 4 Proofs of Theorems 1 and 2 -- 5 Conclusions -- References -- Simulating Functioning of Decision Trees for Tasks on Decision Rule Systems -- 1 Introduction -- 2 Definitions. 2.1 DRSs - Decision Rule Systems -- 2.2 DTs - Decision Trees -- 3 Supporting Statements -- 4 Algorithms -- 4.1 Supporting Algorithm Agreedy -- 4.2 Greedy Algorithm AC, C{SR,ESR,AD,EAD} -- 5 Conclusion and Plans for Future -- References -- RIONIDA: A Novel Algorithm for Imbalanced Data Combining Instance-Based Learning and Rule Induction -- 1 Introduction -- 2 Related Work -- 3 Basic Notions -- 4 The RIONA Algorithm -- 5 The RIONIDA Algorithm -- 6 Estimating the Optimal Values of Parameters for RIONIDA -- 6.1 Efficient Learning of the Optimal Values of Parameters for RIONIDA -- 7 Experiments and Main Results -- 7.1 Comparison of RIONIDA with the Selected State-of-the-Art Algorithms for G-Mean -- 7.2 Comparison of RIONIDA with the Selected State-of-the-Art Algorithms for F-Measure -- 7.3 Conclusions for Experiments -- 8 Conclusions -- References -- Granular Computing -- Information System in the Light of Interactive Granular Computing -- 1 Introduction -- 2 A Brief Idea About IGrC -- 3 Information Systems from the Perspective of IGrC -- 4 Example Illustrating Interactive Information System -- 5 Conclusion -- References -- GBTWSVM: Granular-Ball Twin Support Vector Machine -- 1 Introduction -- 2 Preliminaries -- 2.1 Granular-Ball Computing -- 2.2 TWSVM -- 3 The model of Granular-Ball Twin Support Vector Machine -- 3.1 Granular-Ball Twin Support Vector Machine -- 3.2 The Dual Model of GBTWSVM -- 3.3 Algorithm Design -- 4 Experiment Analysis -- 4.1 Penalty Parameters Selection -- 4.2 Evaluation Metrics -- 4.3 Experimental Datasets -- 4.4 Experimental Results -- 5 Conclusions -- References -- Fuzzy Granular-Balls Based Spectral Clustering -- 1 Introduction -- 2 Preliminaries -- 2.1 Fuzzy C-Means -- 2.2 Spectral Clustering -- 2.3 Granular-Ball Computing -- 3 Fuzzy Granular-Balls Based Spectral Clustering -- 4 Experimental Analysis. 4.1 Experimental Datasets and Metric Indexes -- 4.2 The Experimental Results of the FGBSC -- 5 Conclusions -- References -- A Vector Is a Granule: A Novel Extension of the Variable Precision Rough Set Model -- 1 Introduction -- 2 Preliminaries -- 2.1 Pawlak's Rough Set Model -- 2.2 Ziarko's Variable Precision Rough Set Model -- 2.3 Inner Product Spaces -- 3 Granule Vectors and Approximation Vectors -- 3.1 The Case of Using the Standard Basis -- 3.2 The Case of Using Linearly Independent Vectors -- 4 An Extended VPRS Model -- 5 Conclusion -- References -- Rough Set Applications -- Cross-Weighting Knowledge Distillation for Object Detection -- 1 Introduction -- 2 Related Work -- 2.1 Object Detection -- 2.2 Knowledge Distillation -- 3 Method -- 3.1 Cross-Weighting Knowledge Distillation -- 3.2 Valuable Distillation Object Selection Module -- 3.3 Overall Distillation Loss -- 4 Experiment -- 4.1 Experiment Settings -- 4.2 Implementation and Details -- 4.3 Main Results -- 4.4 Analysis -- 5 Conclusion -- References -- A Method of Multi-USV Reward Design Using Fuzzy Control -- 1 Introduction -- 2 Related Work -- 3 Preliminary -- 3.1 Reinforcement Learning -- 3.2 Fuzzy Control -- 3.3 Cloud Model -- 4 Proposed Method -- 4.1 Framework -- 4.2 Fuzzy Reward Design -- 5 Experiments -- 5.1 Simulation Environment -- 5.2 Comparison Analysis -- 6 Conclusion -- References -- Hyp-DAN: Hyperbolic Distance-Aware Attention Networks -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Hyperbolic Geometry Initiation and Application -- 3.2 Hyperbolic Operations -- 4 Networks -- 4.1 Hyperbolic Distance Attention -- 5 Experiments -- 6 Discussion and Conclusion -- References -- Optimizing Rough Set Flow Graph Inference -- 1 Introduction -- 2 Background -- 2.1 Bayesian Networks -- 2.2 Rough Set Flow Graphs -- 2.3 Marginalize All-at-once -- 2.4 Marginalize One-by-one. 3 Optimizing RSFG Inference. |
| Record Nr. | UNINA-9910878060803321 |
Hu Mengjun
|
||
| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Rough Sets : International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part II
| Rough Sets : International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part II |
| Autore | Hu Mengjun |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (338 pages) |
| Altri autori (Persone) |
CornelisChris
ZhangYan LingrasPawan ŚlęzakDominik YaoJingTao |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-031-65668-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Three-Way Decision and Rough Sets -- The Visual Analysis of Three-Way Decision Based on Decision-Theoretic Rough Set: A Perspective of Fusing Two-Way Decision Pair -- 1 Introduction -- 2 The Visual Bayesian Decision Procedure of Three-Way Decision Combing a Pair of Two-Way Decisions -- 2.1 The Geometric Interpretations for Bayesian Decision Procedure with Liner Cost Function -- 2.2 The Geometric Interpretations for Acceptance and Rejection Procedure -- 2.3 The Geometric Interpretations for Three-Way Decision Combing a Pair of Two-Way Decisions -- 3 The Geometric Interpretations of Degeneration in Two-Way Decision Pair into the Three-Way Decision -- 4 Conclusion and Prospect -- References -- Triangular Fuzzy Number Intuitionistic Fuzzy Covering Rough Sets and Applications to Decision Making -- 1 Introduction -- 2 Preliminaries -- 3 TFNIFRSs Model and Related Properties -- 3.1 TFNIFRSs -- 3.2 TFNIFRSs Model Example -- 4 Triangular Fuzzy Number Intuitionistic Fuzzy -Covering Rough Sets Model and Application -- 4.1 Triangular Fuzzy Number Intuitionistic Fuzzy -Covering Rough Sets -- 4.2 Model Application -- 4.3 Multi-attribute Decision-Making Algorithm Based on Triangular Fuzzy Number Intuitionistic Fuzzy -Covering Rough Sets -- 4.4 Example Illustration -- 5 Conclusion -- References -- Three-Way Decision of Granular-Ball Rough Sets Based on Fuzziness -- 1 Introduction -- 2 Preliminaries -- 3 Three-Way Decision of Granular-Ball Rough Sets Based on Fuzziness Loss -- 4 Experiment -- 4.1 General Settings -- 4.2 An Analysis of Uncertainty for 3WD-GBRS -- 4.3 3WD-GBRS VS Other Classifiers -- 5 Conclusion -- References -- Three-Way Decision in Data Analytics -- Three-Way Cost-Performance Approximate Attribute Reduction -- 1 Introduction.
2 Attribute Reduction in a Decision Table -- 3 Three-Way Cost-Performance Approximate Attribute Reduction -- 3.1 Cost-Sensitive Attribute Reduction -- 3.2 Approximate Attribute Reduction -- 3.3 Cost-Performance Approximate Attribute Reduction -- 3.4 Three-Way Cost-Performance Approximate Attribute Reduction -- 4 Conclusion -- References -- Granular Approximations of Partially-Known Concepts -- 1 Introduction -- 2 Partially-Known Concepts -- 3 Granular Approximations of Concepts and Partially-Known Concepts -- 3.1 Granular Approximations of Concepts -- 3.2 Granular Approximations of Partially-Known Concepts Under Triplet Representation -- 3.3 Granular Approximations of Partially-Known Concepts Under Interval Set Representation -- 3.4 Transformation Between Two Granular Approximations -- 4 Analysis of the Granular Approximations of Partially-Known Concepts -- 4.1 The 7-Region Analysis -- 4.2 The 5-region Analysis -- 5 Conclusion -- References -- Robust Online Satellite Video Object Tracking with Self-adoption Uncertainty -- 1 Introduction -- 2 Related Work -- 2.1 CF-Based Object Tracking -- 2.2 Object Tracking in Satellite Videos -- 2.3 Uncertainty Estimation -- 3 Proposed Tracker -- 3.1 General Architecture -- 3.2 Feature Extractor -- 3.3 Uncertainty Online Learning -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Datasets and Evaluation Metrics -- 4.3 Results Comparison -- 5 Conclusion -- References -- Three-Way Hybrid Sampling Using Granular Balls for Imbalanced Classification -- 1 Introduction -- 2 Related Work -- 2.1 Notations -- 2.2 Preprocessing Approaches -- 2.3 GB-Based Undersampling Method -- 3 Approach -- 3.1 Framework -- 3.2 Generation of Granular Balls -- 3.3 GB-Based Borderline Undersampling Method -- 3.4 GB-Based Oversampling Method -- 4 Experimental Results and Analysis -- 4.1 Experimental Settings -- 4.2 Effectiveness. 4.3 Robustness -- 4.4 Parameter Sensitivity Analysis -- 5 Conclusion -- References -- Identifying Important Concepts in the Concept Lattice Based on Concept Indices -- 1 Introduction -- 2 Preliminaries -- 2.1 FCA -- 3 Concept Indices -- 3.1 Concept Attribute Features -- 3.2 Concept Structural Features -- 4 Important Concept Identification Model Based on Concept Indices -- 5 Quantitative Analysis -- 5.1 An Empirical Study -- 5.2 Comparative Analysis and Discussion -- 6 Conclusions -- References -- Result-Fusion-Based Temporal-Spatial Composite Sequential Three-Way Decisions -- 1 Introduction -- 2 The Result-Fusion-Based Temporal-Spatial Composite Sequential Three-Way Decisions -- 3 Experimental Analysis -- 3.1 Analysis for Three Result Fusion Strategies -- 3.2 Analysis for the Efficiency of Composite Sequential Approach -- 4 Conclusions -- References -- Three-Way Decision in Broad Senses -- A Machine-People-Government Triangular Model of Smart Agriculture -- 1 Introduction -- 2 A Brief Review of Studies on Smart Agriculture -- 3 An Overview of Three-Way Decision and SMV Spaces -- 4 A Framework of Smart Agriculture -- 4.1 MPG4SA: Machine-People-Government Triangular Model of Smart Agriculture -- 4.2 SMV4SA: SMV Space Based Model for Smart Agriculture -- 5 Conclusion -- References -- Three-Way Bibliometrics Analytics for Supporting Literature Review -- 1 Introduction -- 2 Three-Way Literature Review -- 3 Literature Review with the Philosophy-Theory-Application Triad -- 4 Literature Review with the Who-What-When Triad -- 4.1 The 33 Method -- 4.2 A 33 Model of Literature Review -- 5 A Literature Review of Three-Way Conflict Analysis Based on the 33 Model -- 6 Conclusion -- References -- Approximate Criterion Reduction in Multi-criteria Trilevel Ranking Analysis -- 1 Introduction -- 2 Approximate Criterion Reduction in Trilevel Rankings. 3 Constructing Approximate Criterion Reducts in Trilevel Rankings -- 3.1 A Distance-Based Difference Measure -- 3.2 A Cost-Sensitive Difference Measure -- 3.3 Heuristic Algorithms -- 4 Experimental Results -- 5 Conclusion -- References -- New Models of Three-Way Conflict Analysis Based on Decision-Theoretic Rough Sets -- 1 Introduction -- 2 Preliminaries -- 2.1 Three-Way Decisions with Ranking and References -- 2.2 Three-Way Decisions with Decision-Theoretic Rough Sets -- 3 New Models of Three-Way Conflict Analysis Based on Decision-Theoretic Rough Sets -- 4 An Illustrative Example -- 5 Conclusion -- References -- Three-Way Conflict Analysis with Negative Feedback -- 1 Introduction -- 2 Classical Three-Way Conflict Analysis -- 2.1 Trisection Models of Agents -- 2.2 Trisection Models of Pairs of Agents -- 3 Three-Way Conflict Models of Agents with Negative Feedback -- 4 Three-Way Conflict Models of Pairs with Negative Feedback -- 5 An Illustrative Example -- 5.1 The Algorithm for Models of Agents -- 5.2 The Algorithm for Models of Pairs -- 6 Conclusion -- References -- Rental Market Data Mining -- Estate 360: AI-Driven Centralized Real Estate Platform -- 1 Introduction -- 1.1 Background -- 1.2 Research Objective -- 1.3 Scope of Study -- 2 Literature Review -- 3 Proposed System -- 3.1 Automated Data Collection -- 3.2 Real-Time Dashboards -- 3.3 Insightful Rental Forecast -- 3.4 In-House Developed APIs -- 4 Methodology -- 4.1 Data Processing and Augmentation -- 4.2 Model Parameter Tuning -- 4.3 Model Validation -- 4.4 Model Visualization -- 4.5 Architecture -- 5 Conclusion and Future Scope -- References -- Housing Rental Information Management and Prediction System Based on CatBoost Algorithm - a Case Study of Halifax Region -- 1 Introduction -- 2 Principles of HRMPS Based on CatBoost Algorithm -- 2.1 Principle of the CatBoost Model. 2.2 System Constructure and Data Connection -- 3 CatBoost Prediction Model Based on Halifax House Rental Dataset -- 3.1 Data Preparation and Pre-processing -- 3.2 Exploratory Data Analysis -- 3.3 Model Training -- 3.4 Model Evaluation and Performance -- 4 Application of HRMPS in Halifax Region -- 5 Conclusions -- References -- A Novel Approach to Rental Market Analysis for Property Management Firms Using Large Language Models and Machine Learning -- 1 Introduction -- 1.1 Background -- 2 Related Works -- 3 Methodology -- 3.1 System Architecture -- 3.2 Dataset -- 3.3 Feature Engineering/Selection -- 3.4 AI and ML Methodology -- 4 Results and Validation -- 4.1 Ensemble-Based ML Rent Prediction Model Results -- 4.2 Nearest Neighbor Results -- 4.3 Validation and Evaluation of LLM BASED Insights Generation -- 5 Conclusion -- References -- Applications of Deep Learning and Soft Computing -- Clinical Medical Test Decision-Making of Liver Disease Using Granular-Ball Rough Set -- 1 Introduction -- 2 What Is the Clinical Medical Test Decision-Making in Liver Disease? -- 3 Rough Set Theory and Granular-Ball Rough Set -- 3.1 Rough Set Theory -- 3.2 Granular-Ball Rough Set -- 4 Methodology -- 5 Descriptions of Datasets for Experiments -- 5.1 Hepatitis Dataset -- 5.2 Cirrhosis Patient Survival Prediction Dataset -- 6 Experimental Results -- 6.1 Comparison in Cirrhosis Dataset -- 6.2 Comparison in Hepatitis Dataset -- 7 Discussion -- 8 Conclusion -- References -- Lung Cancer Risk Prediction Model Trained with Multi-source Data -- 1 Introduction -- 2 Background -- 2.1 Risk Prediction and Early Diagnosis of Lung Cancer -- 2.2 Cross-Modal Knowledge Distillation -- 3 Proposal Method -- 3.1 Knowledge Distillation -- 3.2 Features Extraction -- 3.3 Optimizing -- 4 Experiment Data -- 4.1 NLST -- 4.2 Dataset Split -- 4.3 Data Prepossessing -- 5 Experiment and Result. 5.1 Setup. |
| Record Nr. | UNINA-9910878062603321 |
|
Hu Mengjun
|
||
| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Rough sets : international joint conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, proceedings / / edited by JingTao Yao [and five others]
| Rough sets : international joint conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, proceedings / / edited by JingTao Yao [and five others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (445 pages) |
| Disciplina | 511.32 |
| Collana | Lecture Notes in Computer Science Ser. |
| Soggetto topico | Rough sets |
| ISBN | 3-031-21244-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996500064503316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Rough Sets : International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings / / edited by JingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy Grzymala-Busse, Fanzhang Li
| Rough Sets : International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings / / edited by JingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy Grzymala-Busse, Fanzhang Li |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (445 pages) |
| Disciplina |
511.32
511.322 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Social sciences—Data processing Artificial Intelligence Data Mining and Knowledge Discovery Computer Application in Social and Behavioral Sciences |
| ISBN | 3-031-21244-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers, IRSS President Forum -- Orthopartitions in Knowledge Representation and Machine Learning -- Rough Sets and Fuzzy Sets in Interactive Granular Computing -- MGCC: Multi-Granularity Cognitive Computing -- Three-way decision, three-world conception, and explainable AI -- Rough set theory and applications -- scikit-weak: A Python library for Weakly Supervised Machine Learning -- Applying Rough Set Theory for Digital Forensics Evidence Analysis -- Binary boundaries and power set space of graded rough sets and their correlative ECG (Electrocardiogram) data analysis -- Neighborhood Approximate Reducts-based Ensemble Learning Algorithm and Its Application in Software Defect Prediction -- Granular computing and applications -- USV Path Planning Based on Adaptive Fuzzy Reward -- A Naive Bayes Classifier Based on Neighborhood Granulation -- Matrix representations and interdependency on an L-fuzzy covering-based rough set -- Uncertainty-aware Deep Open-set Object Detection -- Classification and deep learning -- Rule Acquisition in Generalized One-sided Decision Systems -- Density peak clustering based split-and-merge -- Multi-label feature extraction with distance-based graph attention network -- Multi-scale Subgraph Contrastive Learning for Link Prediction -- Video Object Detection with MeanShift Tracking -- MP-KMeans: K-Means with Missing Pattern for Data of Missing Not at Random -- Conceptual Knowledge Discovery and Machine Learning Based on Three-way Decisions and Granular Computing -- Using User’s Expression Propensity for Sarcasm Detection based on Sequential Three-way Decision -- Concept Reduction of Object-induced Three-way Concept Lattices -- An Attention-Based Token Pruning Method for Vision Transformers -- Three-way approximate criterion reduction in multi-criteria decision analysis -- Close Contact Detection in Social Networks via Possible Attribute Analysis -- Uncertainty in Three-way Decisions, Granular Computing, and Data Science -- A Probabilistic Approach to Analyzing Agent Relations in Three-Way Conflict Analysis Based on Bayesian Confirmation -- Hierarchical multi-granulation sequential three-way decisions -- KNN Ensemble Learning Integration Algorithm based on Three-way Decision -- Attribute Reduction of Crisp-Crisp Concept Lattices Based on Three-Way Decisions -- Kernelized Fuzzy Rough Sets-based Three-Way Feature Selection -- Adaptive K-means Algorithm Based on Three-Way Decision -- 3WS-ITSC: Three-Way Sampling on Imbalanced Text Data for Sentiment Classification -- Rough-Fuzzy Clustering based on Adaptive Weighted Values and Three-way Decisions. |
| Record Nr. | UNINA-9910629283103321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Rough Sets and Current Trends in Computing [[electronic resource] ] : 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012.Proceedings / / edited by JingTao Yao, Yan Yang, Roman Slowiński, Salvatore Greco, Huaxiong Li, Sushmita Mitra, Lech Polkowski
| Rough Sets and Current Trends in Computing [[electronic resource] ] : 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012.Proceedings / / edited by JingTao Yao, Yan Yang, Roman Slowiński, Salvatore Greco, Huaxiong Li, Sushmita Mitra, Lech Polkowski |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (498 p. 101 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Mathematical logic Numerical analysis Application software Information storage and retrieval Artificial Intelligence Data Mining and Knowledge Discovery Mathematical Logic and Formal Languages Numeric Computing Information Systems Applications (incl. Internet) Information Storage and Retrieval |
| ISBN | 3-642-32115-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Topical sections on rough sets and its applications -- Current trends in computing -- Decision-theoretic rough set model and applications -- Formal concept analysis and granular computing -- Mining complex data with granular computing -- Data mining competition. |
| Record Nr. | UNISA-996465477803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Rough sets and knowledge technology : second international conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, proceedings / / JingTao Yao [and five others] (editors)
| Rough sets and knowledge technology : second international conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, proceedings / / JingTao Yao [and five others] (editors) |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer-Verlag, , [2007] |
| Descrizione fisica | 1 online resource (588 p.) |
| Disciplina | 006.3 |
| Collana | Lecture notes in computer science. Lecture notes in artificial intelligence |
| Soggetto topico |
Soft computing
Rough sets Data mining Artificial intelligence |
| ISBN |
1-280-94936-8
9786610949366 3-540-72458-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Decision-Theoretic Rough Set Models -- Efficient Attribute Reduction Based on Discernibility Matrix -- Near Sets. Toward Approximation Space-Based Object Recognition -- Rough Set Foundations -- On Covering Rough Sets -- On Transitive Uncertainty Mappings -- A Complete Method to Incomplete Information Systems -- Information Concept Lattice and Its Reductions -- Homomorphisms Between Relation Information Systems -- Dynamic Reduction Based on Rough Sets in Incomplete Decision Systems -- Entropies and Co–entropies for Incomplete Information Systems -- Granular Computing Based on a Generalized Approximation Space -- A General Definition of an Attribute Reduct -- Multiple Criteria Decision Analysis -- Mining Associations for Interface Design -- Optimized Generalized Decision in Dominance-Based Rough Set Approach -- Monotonic Variable Consistency Rough Set Approaches -- Bayesian Decision Theory for Dominance-Based Rough Set Approach -- Ranking by Rough Approximation of Preferences for Decision Engineering Applications -- Applying a Decision Making Model in the Early Diagnosis of Alzheimer’s Disease -- Biometrics -- Singular and Principal Subspace of Signal Information System by BROM Algorithm -- Biometric Verification by Projections in Error Subspaces -- Absolute Contrasts in Face Detection with AdaBoost Cascade -- Voice Activity Detection for Speaker Verification Systems -- Face Detection by Discrete Gabor Jets and Reference Graph of Fiducial Points -- Iris Recognition with Adaptive Coding -- Kansei Engineering -- Overview of Kansei System and Related Problems -- Reduction of Categorical and Numerical Attribute Values for Understandability of Data and Rules -- Semi-structured Decision Rules in Object-Oriented Rough Set Models for Kansei Engineering -- Functional Data Analysis and Its Application -- Evaluation of Pictogram Using Rough Sets -- A Logical Representation of Images by Means of Multi-rough Sets for Kansei Image Retrieval -- Autonomy-Oriented Computing -- A Batch Rival Penalized EM Algorithm for Gaussian Mixture Clustering with Automatic Model Selection -- A Memetic-Clustering-Based Evolution Strategy for Traveling Salesman Problems -- An Efficient Probabilistic Approach to Network Community Mining -- A New Approach to Underdetermined Blind Source Separation Using Sparse Representation -- Soft Computing in Bioinformatics -- Evolutionary Fuzzy Biclustering of Gene Expression Data -- Rough Clustering and Regression Analysis -- Rule Induction for Prediction of MHC II-Binding Peptides -- Efficient Local Protein Structure Prediction -- Roughfication of Numeric Decision Tables: The Case Study of Gene Expression Data -- Ubiquitous Computing and Networking -- Ubiquitous Customer Relationship Management (uCRM) -- Towards the Optimal Design of an RFID-Based Positioning System for the Ubiquitous Computing Environment -- Wave Dissemination for Wireless Sensor Networks -- Two Types of a Zone-Based Clustering Method for Wireless Sensor Networks -- Rough Set Algorithms -- Set Approximations in Multi-level Conceptual Data -- Knowledge Reduction in Generalized Consistent Decision Formal Contexts -- Graphical Representation of Information on the Set of Reducts -- Minimal Attribute Space Bias for Attribute Reduction -- Two-Phase ?-Certain Reducts Generation -- Formal Concept Analysis and Set-Valued Information Systems -- Descriptors and Templates in Relational Information Systems -- ROSA: An Algebra for Rough Spatial Objects in Databases -- Knowledge Representation and Reasoning -- Learning Models Based on Formal Concept -- Granulation Based Approximate Ontologies Capture -- Fuzzy-Valued Transitive Inclusion Measure, Similarity Measure and Application to Approximate Reasoning -- Model Composition in Multi-dimensional Data Spaces -- An Incremental Approach for Attribute Reduction in Concept Lattice -- Topological Space for Attributes Set of a Formal Context -- Flow Graphs as a Tool for Mining Prediction Rules of Changes of Components in Temporal Information Systems -- Approximation Space-Based Socio-Technical Conflict Model -- Genetic Algorithms -- Improved Quantum-Inspired Genetic Algorithm Based Time-Frequency Analysis of Radar Emitter Signals -- Parameter Setting of Quantum-Inspired Genetic Algorithm Based on Real Observation -- A Rough Set Penalty Function for Marriage Selection in Multiple-Evaluation Genetic Algorithms -- Multiple Solutions by Means of Genetic Programming: A Collision Avoidance Example -- Rough Set Applications -- An Approach for Selective Ensemble Feature Selection Based on Rough Set Theory -- Using Rough Reducts to Analyze the Independency of Earthquake Precursory Items -- Examination of the Parameter Space of a Computational Model of Acute Ischaemic Stroke Using Rough Sets -- Using Rough Set Theory to Induce Pavement Maintenance and Rehabilitation Strategy -- Descent Rules for Championships -- Rough Neuro Voting System for Data Mining: Application to Stock Price Prediction -- Counting All Common Subsequences to Order Alternatives. |
| Record Nr. | UNINA-9910483585603321 |
| Berlin ; ; Heidelberg : , : Springer-Verlag, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Rough sets and knowledge technology : second international conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, proceedings / / JingTao Yao [and five others] (editors)
| Rough sets and knowledge technology : second international conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, proceedings / / JingTao Yao [and five others] (editors) |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer-Verlag, , [2007] |
| Descrizione fisica | 1 online resource (588 p.) |
| Disciplina | 006.3 |
| Collana | Lecture notes in computer science. Lecture notes in artificial intelligence |
| Soggetto topico |
Soft computing
Rough sets Data mining Artificial intelligence |
| ISBN |
1-280-94936-8
9786610949366 3-540-72458-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Decision-Theoretic Rough Set Models -- Efficient Attribute Reduction Based on Discernibility Matrix -- Near Sets. Toward Approximation Space-Based Object Recognition -- Rough Set Foundations -- On Covering Rough Sets -- On Transitive Uncertainty Mappings -- A Complete Method to Incomplete Information Systems -- Information Concept Lattice and Its Reductions -- Homomorphisms Between Relation Information Systems -- Dynamic Reduction Based on Rough Sets in Incomplete Decision Systems -- Entropies and Co–entropies for Incomplete Information Systems -- Granular Computing Based on a Generalized Approximation Space -- A General Definition of an Attribute Reduct -- Multiple Criteria Decision Analysis -- Mining Associations for Interface Design -- Optimized Generalized Decision in Dominance-Based Rough Set Approach -- Monotonic Variable Consistency Rough Set Approaches -- Bayesian Decision Theory for Dominance-Based Rough Set Approach -- Ranking by Rough Approximation of Preferences for Decision Engineering Applications -- Applying a Decision Making Model in the Early Diagnosis of Alzheimer’s Disease -- Biometrics -- Singular and Principal Subspace of Signal Information System by BROM Algorithm -- Biometric Verification by Projections in Error Subspaces -- Absolute Contrasts in Face Detection with AdaBoost Cascade -- Voice Activity Detection for Speaker Verification Systems -- Face Detection by Discrete Gabor Jets and Reference Graph of Fiducial Points -- Iris Recognition with Adaptive Coding -- Kansei Engineering -- Overview of Kansei System and Related Problems -- Reduction of Categorical and Numerical Attribute Values for Understandability of Data and Rules -- Semi-structured Decision Rules in Object-Oriented Rough Set Models for Kansei Engineering -- Functional Data Analysis and Its Application -- Evaluation of Pictogram Using Rough Sets -- A Logical Representation of Images by Means of Multi-rough Sets for Kansei Image Retrieval -- Autonomy-Oriented Computing -- A Batch Rival Penalized EM Algorithm for Gaussian Mixture Clustering with Automatic Model Selection -- A Memetic-Clustering-Based Evolution Strategy for Traveling Salesman Problems -- An Efficient Probabilistic Approach to Network Community Mining -- A New Approach to Underdetermined Blind Source Separation Using Sparse Representation -- Soft Computing in Bioinformatics -- Evolutionary Fuzzy Biclustering of Gene Expression Data -- Rough Clustering and Regression Analysis -- Rule Induction for Prediction of MHC II-Binding Peptides -- Efficient Local Protein Structure Prediction -- Roughfication of Numeric Decision Tables: The Case Study of Gene Expression Data -- Ubiquitous Computing and Networking -- Ubiquitous Customer Relationship Management (uCRM) -- Towards the Optimal Design of an RFID-Based Positioning System for the Ubiquitous Computing Environment -- Wave Dissemination for Wireless Sensor Networks -- Two Types of a Zone-Based Clustering Method for Wireless Sensor Networks -- Rough Set Algorithms -- Set Approximations in Multi-level Conceptual Data -- Knowledge Reduction in Generalized Consistent Decision Formal Contexts -- Graphical Representation of Information on the Set of Reducts -- Minimal Attribute Space Bias for Attribute Reduction -- Two-Phase ?-Certain Reducts Generation -- Formal Concept Analysis and Set-Valued Information Systems -- Descriptors and Templates in Relational Information Systems -- ROSA: An Algebra for Rough Spatial Objects in Databases -- Knowledge Representation and Reasoning -- Learning Models Based on Formal Concept -- Granulation Based Approximate Ontologies Capture -- Fuzzy-Valued Transitive Inclusion Measure, Similarity Measure and Application to Approximate Reasoning -- Model Composition in Multi-dimensional Data Spaces -- An Incremental Approach for Attribute Reduction in Concept Lattice -- Topological Space for Attributes Set of a Formal Context -- Flow Graphs as a Tool for Mining Prediction Rules of Changes of Components in Temporal Information Systems -- Approximation Space-Based Socio-Technical Conflict Model -- Genetic Algorithms -- Improved Quantum-Inspired Genetic Algorithm Based Time-Frequency Analysis of Radar Emitter Signals -- Parameter Setting of Quantum-Inspired Genetic Algorithm Based on Real Observation -- A Rough Set Penalty Function for Marriage Selection in Multiple-Evaluation Genetic Algorithms -- Multiple Solutions by Means of Genetic Programming: A Collision Avoidance Example -- Rough Set Applications -- An Approach for Selective Ensemble Feature Selection Based on Rough Set Theory -- Using Rough Reducts to Analyze the Independency of Earthquake Precursory Items -- Examination of the Parameter Space of a Computational Model of Acute Ischaemic Stroke Using Rough Sets -- Using Rough Set Theory to Induce Pavement Maintenance and Rehabilitation Strategy -- Descent Rules for Championships -- Rough Neuro Voting System for Data Mining: Application to Stock Price Prediction -- Counting All Common Subsequences to Order Alternatives. |
| Record Nr. | UNISA-996466250203316 |
| Berlin ; ; Heidelberg : , : Springer-Verlag, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing [[electronic resource] ] : 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II / / edited by Dominik Slezak, JingTao Yao, James F. Peters, Wojciech Ziarko, Xiaohua Hu
| Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing [[electronic resource] ] : 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II / / edited by Dominik Slezak, JingTao Yao, James F. Peters, Wojciech Ziarko, Xiaohua Hu |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XXIV, 748 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Information storage and retrieval Database management Mathematical logic Computers Pattern recognition Artificial Intelligence Information Storage and Retrieval Database Management Mathematical Logic and Formal Languages Computation by Abstract Devices Pattern Recognition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Rough Set Software -- Data Mining -- Hybrid and Hierarchical Methods -- Information Retrieval -- Image Recognition and Processing -- Multimedia Applications -- Medical Applications -- Bioinformatic Applications -- Web Content Analysis -- Business Applications -- Security Applications -- Industrial Applications -- Embedded Systems and Networking -- Intelligent and Sapient Systems. |
| Record Nr. | UNISA-996465400003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Transactions on Rough Sets XVIII [[electronic resource] /] / edited by James F. Peters, Andrzej Skowron, Tianrui Li, Yan Yang, JingTao Yao, Hung Son Nguyen
| Transactions on Rough Sets XVIII [[electronic resource] /] / edited by James F. Peters, Andrzej Skowron, Tianrui Li, Yan Yang, JingTao Yao, Hung Son Nguyen |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (IX, 131 p. 19 illus.) |
| Disciplina | 006.4 |
| Collana | Transactions on Rough Sets |
| Soggetto topico |
Pattern recognition
Numerical analysis Artificial intelligence Mathematical logic Pattern Recognition Numeric Computing Artificial Intelligence Mathematical Logic and Formal Languages |
| ISBN | 3-662-44680-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On the Intuitionistic Fuzzy Topological Structures of Rough Intuitionistic Fuzzy Sets -- Feature Selection with Positive Region Constraint for Test-cost-sensitive Data -- A Rough Neurocomputing approach for Illumination Invariant Face Recognition System -- Variable Precision Multigranulation Rough Set and Attributes Reduction -- Three-way Decisions Versus Two-way Decisions on Filtering Spam Email -- A Three-way Decisions Approach to Density-based Overlapping Clustering -- Three-way Decisions in Stochastic Decision-Theoretic Rough Sets. |
| Record Nr. | UNISA-996202527903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
