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| 008 |
211011 ||| eng |
| 020 |
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|a 9783030873349
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| 100 |
1 |
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|a Ramanna, Sheela
|e [editor]
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| 245 |
0 |
0 |
|a Rough Sets
|h Elektronische Ressource
|b International Joint Conference, IJCRS 2021, Bratislava, Slovakia, September 19–24, 2021, Proceedings
|c edited by Sheela Ramanna, Chris Cornelis, Davide Ciucci
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| 250 |
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|a 1st ed. 2021
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2021, 2021
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| 300 |
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|a XV, 311 p. 68 illus., 51 illus. in color
|b online resource
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| 505 |
0 |
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|a Related Methods and Hybridization -- Minimizing Depth of Decision Trees with Hypotheses -- The Influence of Fuzzy Expectations on Triples of Triangular Norms in the Weighted Fuzzy Petri Net for the Subject Area of Passenger Transport Logistics -- Possibility Distributions Generated by Intuitionistic L-Fuzzy Sets -- Feature Selection and Disambiguation in Learning from Fuzzy Labels using Rough Sets -- Right Adjoint Algebras versus Operator Left Residuated posets -- Adapting Fuzzy Rough Sets for Classification with Missing Values -- Areas of Applications -- Spark Accelerated Implementation of Parallel Attribute Reduction from Incomplete Data -- Attention Enhanced Hierarchical Feature Representation for Three-way Decision Boundary Processing -- An Opinion Summarization-Evaluation System Based on Pre-trained Models -- Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets -- Three-way decisions based RNN models for sentiment classification --
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| 505 |
0 |
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|a Tolerance-Based Short Text Sentiment Classifier -- Knowledge Graph Representation Learning for Link Prediction with Three-Way Decisions -- PNeS in Modelling, Control and Analysis of Concurrent Systems -- 3RD: A Multi-Criteria Decision-Making Method Based on Three-Way Rankings
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| 505 |
0 |
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|a Invited Papers -- Mining Incomplete Data Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets and Maximal Consistent Blocks -- Determining Tanimoto Similarity Neighborhoods of Real-Valued Vectors by Means of the Triangle Inequality and Bounds on Length -- Rough-Fuzzy Segmentation of Brain MR Volumes: Applications in Tumor Detection and Malignancy Assessment -- DDAE-GAN: Seismic Data Denoising by Integrating Autoencoder and Generative Adversarial Network -- Classification of Multi-Class Imbalanced Data: Data Difficulty Factors and Selected Methods for Improving Classifiers -- Core Rough Set Models and Methods -- General Rough Modeling of Cluster Analysis -- Possible Coverings in Incomplete Information Tables with Similarity of Values -- Attribute Reduction Using Functional Dependency Relations in Rough Set Theory -- The RSDS: A Current State and Future Plans -- Many-Valued Dynamic Object-Oriented Inheritance and Approximations --
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Data mining
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| 653 |
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|a Application software
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Data Mining and Knowledge Discovery
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| 653 |
|
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|a Computer and Information Systems Applications
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| 700 |
1 |
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|a Cornelis, Chris
|e [editor]
|
| 700 |
1 |
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|a Ciucci, Davide
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
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|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
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|a Lecture Notes in Artificial Intelligence
|
| 028 |
5 |
0 |
|a 10.1007/978-3-030-87334-9
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-87334-9?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 006.312
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| 520 |
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|a The volume LNAI 12872 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2021, Bratislava, Slovak Republic, in September 2021. The conference was held as a hybrid event due to the COVID-19 pandemic. The 13 full paper and 7 short papers presented were carefully reviewed and selected from 26 submissions, along with 5 invited papers. The papers are grouped in the following topical sections: core rough set models and methods, related methods and hybridization, and areas of applications
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