Computational Science – ICCS 2020 (Record no. 186696)

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control field 978-3-030-50423-6
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control field DE-He213
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control field 20240423130245.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030504236
-- 978-3-030-50423-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-50423-6
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA75.5-76.95
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYA
Source bicssc
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Subject category code COM014000
Source bisacsh
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Subject category code UYA
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.0151
Edition number 23
245 10 - TITLE STATEMENT
Title Computational Science – ICCS 2020
Medium [electronic resource] :
Remainder of title 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part IV /
Statement of responsibility, etc edited by Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael H. Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
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-- Springer International Publishing :
-- Imprint: Springer,
-- 2020.
300 ## - PHYSICAL DESCRIPTION
Extent XIX, 668 p. 247 illus., 192 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Theoretical Computer Science and General Issues,
International Standard Serial Number 2512-2029 ;
Volume number/sequential designation 12140
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Classifier Learning from Difficult Data -- Different strategies of fitting logistic regression for positive and unlabelled data -- Branch-and-Bound Search for Training Cascades of Classifiers -- Application of the stochastic gradient method in the construction of the maincomponents of PCA in the task diagnosis of multiple sclerosis in children -- Grammatical Inference by Answer Set Programming -- Dynamic Classifier Selection for data with skewed class distribution using Imbalance Ratio and Euclidean distance -- On Model Evaluation under Non-constant Class Imbalance -- A Correction Method of a Base Classifier Applied to Imbalanced Data Classification -- Standard Decision Boundary in a support-domain of fuzzy classifier prediction for the task of imbalanced data classification -- Employing One-class SVM Classifier Ensemble for Imbalanced Data Stream Classification -- Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification -- Performance Analysis of Binarization Strategies for Multi-Class Imbalanced Data Classification -- Towards Network Anomaly Detection Using Graph Embedding -- Maintenance and Security System for PLC Railway LED Sign Communication Infrastructure -- Behavioral Biometric User Authentication from URL Logs -- On the impact of network data balancing in cybersecurity applications -- Pattern recognition model to aid the optimization of Dynamic Spectrally-Spatially Flexible Optical Networks -- Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network -- Complex Social Systems through the Lens of Computational Science -- Cooperation for public goods under uncertainty -- An Information-Theoretic and Dissipative Systems Approach to the Study of Knowledge Diffusion and Emerging Complexity in Innovation Systems -- Mapping the port influence diffusion patterns: a case study of Rotterdam, Antwerp and Singapore -- Entropy-based Measure for Influence Maximization in Temporal Networks -- Evaluation of the Costs of Delayed Campaigns for Limiting the Spread of Negative Content, Panic and Rumours in Complex Networks -- From generality to specificity: on matter of scale in social media topic Communities.-Computational Health -- Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes -- Early signs of critical slowing down in heart surface electrograms of ventricular fibrillation victims -- A Comparison of Generalized Stochastic Milevsky-Promislov Mortality Models with continuous non-Gaussian Filters -- Ontology-Based Inference for Supporting Clinical Decisions in Mental Health -- Towards Prediction of Heart Arrhythmia Onset Using Machine Learning -- Stroke ICU Patient Mortality Day Prediction -- Universal measure for medical image quality evaluation based on gradient approach -- Constructing Holistic Patient Flow Simulation Using System Approach -- Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary SyndromePatients using Data-Driven Network Analysis -- A Machine Learning Approach To Short-term Body Weight Prediction In A Dietary Intervention Program -- An analysis of demographic data in Irish healthcare domain to support semantic uplift -- From Population to Subject-Specific Reference Intervals -- Analyzing the spatial distribution of acute coronary syndrome cases using synthesized data on arterial hypertension prevalence -- The Atrial Fibrillation Risk Score for Hyperthyroidism Patients -- Applicability of Machine Learning Methods to Multi-Label Medical Text Classification -- Machine Learning Approach for the Early Prediction of the Risk of Overweight and Obesity in Young People -- Gait Abnormality Detection in People with Cerebral Palsy using an Uncertainty-based State-space Model -- Analyses of public health databases via clinical pathway modelling: TBWEB -- Preliminary results on Pulmonary Tuberculosis detection in Chest X-Ray using Convolutional Neural Networks -- Risk-based AED Placement – Singapore Case -- Time Expressions Identification without Human-labeled Corpus for Clinical Text Mining in Russian -- Experiencer detection and automated extraction of a family disease tree from medical texts in Russian language -- Computational Methods for Emerging Problems in (Dis-)Information Analysis -- Machine Learning – the results are not the only thing that matters! What about security, explainability and fairness? -- Syntactic and Semantic Bias Detection and Countermeasures -- Detecting Rumours in Disasters: An Imbalanced Learning Approach -- Sentiment Analysis for Fake News Detection by Means of Neural Networks.
520 ## - SUMMARY, ETC.
Summary, etc The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science
General subdivision Mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer networks .
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Theory of Computation.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database Management System.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics of Computing.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Engineering and Networks.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Krzhizhanovskaya, Valeria V.
Relator term editor.
Relator code edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Závodszky, Gábor.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lees, Michael H.
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Personal name Dongarra, Jack J.
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Personal name Sloot, Peter M. A.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Brissos, Sérgio.
Relator term editor.
Relator code edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Teixeira, João.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
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Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030504229
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030504243
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Theoretical Computer Science and General Issues,
-- 2512-2029 ;
Volume number/sequential designation 12140
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-50423-6">https://doi.org/10.1007/978-3-030-50423-6</a>
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Koha item type eBooks-CSE-Springer

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