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Band 14481

Rough Sets International Joint Conference, IJCRS 2023, Krakow, Poland, October 5–8, 2023, Proceedings

Aus der Reihe Lecture Notes in Artificial Intelligence

97,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.12.2023

Herausgeber

Andrea Campagner + weitere

Verlag

Springer

Seitenzahl

644

Maße (L/B/H)

23,5/15,5/3,8 cm

Gewicht

1048 g

Auflage

1st edition 2023

Sprache

Englisch

ISBN

978-3-031-50958-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.12.2023

Herausgeber

Verlag

Springer

Seitenzahl

644

Maße (L/B/H)

23,5/15,5/3,8 cm

Gewicht

1048 g

Auflage

1st edition 2023

Sprache

Englisch

ISBN

978-3-031-50958-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Rough Sets
  • Produktbild: Rough Sets
  • Rough Set Models .- Selected approaches to conflict analysis inspired by the Pawlak model - case study.- Multi-heuristic Induction of Decision Rules.- Algebraic formulations and geometric interpretations of decision-theoretic rough sets.- Reduction of binary attributes: rough set theory versus formal concept analysis.- An Acceleration Method for Attribute Reduction Based on Attribute Synthesis.- Attribute Reduction Based on the Multi-annulus Model.-  Foundations .- Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-valued Decisions from Closed Classes.- Paraconsistent Logics: A Survey Focussing on the Rough Set Approach.- Hexagons of Opposition in Linguistic Three-Way Decisions.- Algebraic Models for Qualified Aggregation in General Rough Sets, and Reasoning Bias Discovery.- Two-sorted Modal Logic for Formal and Rough Concepts.- Kryszkiewicz's Relation for Indiscernibility of Objects in Data Tables Containing Missing Values.- Algebraic, Topological, and Mereological Foundations of Existential Granules.- Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators.- Pawlak, Belnap and the magical number seven.-  Three-way Decisions .- Three-way conflict analysis for three-valued situation tables with rankings and reference tuples.- Three-way social network analysis: Triadic measures at three levels.- Cognitive and Social Decision Making: Three-way Decision Perspectives.- New models of three-way conflict analysis for incomplete situation tables.- Granular-ball Three-way Decision-  Granular Models .- Unsupervised KeyPhrase Extraction Based on Multi-granular Semantics Feature Fusion.- Multi-Granularity Feature Fusion for Transformer-based Single Object Tracking.- A Multi-Granularity Network for Time Series Forecasting on Multivariate Time Series Data.- Adaptive Multi-Granularity Aggregation Transformer for Image Captioning.- A Causal Disentangled Multi-Granularity Graph Classification Method.-  Distances and Similarities .- Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction.- Decision rule clustering - Comparison of the algorithms.- Classifying token frequencies using angular Minkowski $p$-distance.- On kNN class weights for optimising G-mean and F1-score.- Searching of potentially anomalous signals in cosmic-ray particle tracks images using rough k-means clustering combined with eigendecomposition-derived embedding.-  Hybrid Approaches .- Crisp-Fuzzy Concept Lattice Based on Interval-Valued Fuzzy Sets.- Normal fuzzy three-way decision based on prospect theory.- On Several New Dempster-Shafer-inspired Uncertainty Measures Applicable for Active Learning.- Rough Fuzzy Concept Analysis via Multilattice.-  Applications .- Clustering methods for adaptive e-commerce user interfaces.- Application of federated learning to prediction of patient mortality in vasculitis disease.- A Novel Hybrid Wind Speed Interval Prediction Model using Rough Stacked Autoencoder and LSTM.- Navigational Strategies for Mobile Robots Using Rough Mereological Potential Fields and Weighted Distance to Goal.- Handling intra-class dissimilarity and inter-class similarity for imbalanced skin lesion image classification.- Link Prediction for Attribute and Structure Learning Based on Attention Mechanism.-  Cybersecurity and IoT .- A New Data Model for Behavioral Based Anomaly Detection in IoT Device Monitoring.- Preventing Text Data Poisoning Attacks in Federated Machine Learning by an Encrypted Verification Key.- Improving Detection Efficiency: Optimizing Block Size in the Local Outlier Factor (LOF) Algorithm.