Intelligent Data Engineering and Automated Learning - IDEAL 2020 (Record no. 90218)

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fixed length control field 06555nam a22006975i 4500
001 - CONTROL NUMBER
control field 978-3-030-62362-3
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730180212.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030623623
-- 978-3-030-62362-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-62362-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D343
072 #7 - SUBJECT CATEGORY CODE
Subject category code UNF
Source bicssc
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Subject category code UYQE
Source bicssc
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Subject category code COM021030
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UNF
Source thema
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQE
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Edition number 23
245 10 - TITLE STATEMENT
Title Intelligent Data Engineering and Automated Learning - IDEAL 2020
Medium [electronic resource] :
Remainder of title 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part I /
Statement of responsibility, etc. edited by Cesar Analide, Paulo Novais, David Camacho, Hujun Yin.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2020.
300 ## - PHYSICAL DESCRIPTION
Extent XXV, 400 p. 133 illus., 92 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Information Systems and Applications, incl. Internet/Web, and HCI,
International Standard Serial Number 2946-1642 ;
Volume/sequential designation 12489
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Prostate Gland Segmentation in Histology Images via Residual and Multi-Resolution U-Net -- Evaluation of Machine Learning Algorithms for Automated Management of Wireless Links -- Imputation of Missing Boarding Stop Information in Smart Card Data with Machine Learning Methods -- HEAT: Hyperbolic Embedding of Attributed Networks -- Least Squares Approach for Multivariate Split Selection in Regression Trees -- A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes -- A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks -- Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification -- LSI Based Mechanism for Educational Videos Retrieval by Transcripts Processing -- Visualization of Numerical Association Rules by Hill Slopes -- Adaptation and Anxiety Assessment inUndergraduate Nursing Students -- Text Similarity between Concepts Extracted from Source Code and Documentation -- Using Kullback-Leibler Divergence to Identify Prominent Sensor Data for Fault Diagnosis -- An Analysis of Protein Patterns Present in the Saliva of Diabetic Patients using Pairwise Relationship and Hierarchical Clustering -- Improving Adversarial Learning with Image Quality Measures for Image Deblurring -- On Random-Forest-Based Prediction Intervals.-A Machine Learning Approach to Forecast the Safest Period for Outdoor Sports.-One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition -- Integrating a Data Mining Engine into Recommender Systems -- Free-Floating Carsharing in SimFleet -- Fatigue Detection in Strength Exercises for Older People -- Trading Cryptocurrency with Deep Deterministic Policy Gradients -- TMSA: Participatory Sensing Based on Mobile Phones in Urban Spaces -- A Slimmer and Deeper Approach to Network Structures for Image Denoising and Dehazing -- PC-OPT: A SfM Point Cloud Denoising Algorithm -- GELAB and Hybrid Optimization Using Grammatical Evolution -- Distribution-wise Symbolic Aggregate approXimation (dwSAX) -- Intelligent Call Routing for Telecommunications Call-Centers.-Entropy Based Grey Wolf Optimizer -- Mapping a Clinical Case Description to an Argumentation Framework: a Preliminary Assessment -- Learning User Comfort and Well-being through Smart Devices -- A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants -- Automatic Multispectral Image Classification of Plant Virus from Leaf Samples -- Towards the Modeling of the Hot Rolling Industrial Process. Preliminary Results.
520 ## - SUMMARY, ETC.
Summary, etc. This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
9 (RLIN) 3907
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
9 (RLIN) 3407
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Application software.
9 (RLIN) 119259
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer engineering.
9 (RLIN) 10164
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer networks .
9 (RLIN) 31572
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers.
9 (RLIN) 8172
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image processing
General subdivision Digital techniques.
9 (RLIN) 4145
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 119260
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining and Knowledge Discovery.
9 (RLIN) 119261
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence.
9 (RLIN) 3407
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer and Information Systems Applications.
9 (RLIN) 119262
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Engineering and Networks.
9 (RLIN) 119263
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computing Milieux.
9 (RLIN) 55441
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Imaging, Vision, Pattern Recognition and Graphics.
9 (RLIN) 31569
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Analide, Cesar.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 119264
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Novais, Paulo.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 119265
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Camacho, David.
Relator term editor.
Authority record control number or standard number (orcid)
Real World Object URI 0000-0002-5051-3475
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 119266
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yin, Hujun.
Relator term editor.
Authority record control number or standard number (orcid)
Real World Object URI 0000-0002-9198-5401
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 119267
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 119268
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030623616
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030623630
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Information Systems and Applications, incl. Internet/Web, and HCI,
International Standard Serial Number 2946-1642 ;
Volume/sequential designation 12489
9 (RLIN) 119269
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-62362-3">https://doi.org/10.1007/978-3-030-62362-3</a>
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Koha item type eBooks-Lecture Notes in CS

No items available.