國立虎尾科技大學 |

Machine Learning for Networking = 4th International Conference, MLN 2021, Virtual Event, December 1–3, 2021, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine Learning for Networking/ edited by Éric Renault, Selma Boumerdassi, Paul Mühlethaler.
Reminder of title:	4th International Conference, MLN 2021, Virtual Event, December 1–3, 2021, Proceedings /
other author:	Renault, Éric.
Description:	X, 161 p. 69 illus., 50 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-030-98978-1
ISBN:	9783030989781

Machine Learning for Networking = 4th International Conference, MLN 2021, Virtual Event, December 1–3, 2021, Proceedings /
Machine Learning for Networking4th International Conference, MLN 2021, Virtual Event, December 1–3, 2021, Proceedings /[electronic resource] :edited by Éric Renault, Selma Boumerdassi, Paul Mühlethaler. - 1st ed. 2022. - X, 161 p. 69 illus., 50 illus. in color.online resource. - Lecture Notes in Computer Science,131751611-3349 ;. - Lecture Notes in Computer Science,9324.

Evaluation of Machine Learning Methods for Image Classification: A Case Study of Facility Surface Damage -- One-Dimensional Convolutional Neural Network for Detection and Mitigation of DDoS Attacks in SDN -- Multi-Armed Bandit-based Channel Hopping: Implementation on Embedded Devices -- Cross Inference of Throughput Profiles Using Micro Kernel Network Method -- Machine Learning Models for Malicious Traffic Detection in IoT networks /IoT-23 dataset -- Application and Mitigation of the Evasion Attack against a Deep Learning Based IDS for Io -- DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering -- Unsupervised Anomaly Detection using a new Knowledge Graph Model for Network Activity and Events -- Deep Reinforcement Learning for Cost-Effective Controller Placement in Software-Defined Multihop Wireless Networking -- Distance estimation using LORA and neural networks.

This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Machine Learning for Networking, MLN 2021, held in Paris, France, in December 2021. The 10 revised full papers included in the volume were carefully reviewed and selected from 30 submissions. They present and discuss new trends in in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G systems, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, resource allocation, energy-aware communications, software-defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, and underwater sensor networks.

ISBN: 9783030989781

Standard No.: 10.1007/978-3-030-98978-1doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Machine Learning for Networking = 4th International Conference, MLN 2021, Virtual Event, December 1–3, 2021, Proceedings /
LDR:03554nam a22004335i 4500 001 1091026
003 DE-He213
005 20220322170342.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783030989781 $9 978-3-030-98978-1
024 7 $a 10.1007/978-3-030-98978-1 $2 doi
035 $a 978-3-030-98978-1
050 4 $a QA76.9.D343
072 7 $a UNF $2 bicssc
072 7 $a UYQE $2 bicssc
072 7 $a COM021030 $2 bisacsh
072 7 $a UNF $2 thema
072 7 $a UYQE $2 thema
082 0 4 $a 006.312 $2 23
245 1 0 $a Machine Learning for Networking $h [electronic resource] : $b 4th International Conference, MLN 2021, Virtual Event, December 1–3, 2021, Proceedings / $c edited by Éric Renault, Selma Boumerdassi, Paul Mühlethaler.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a X, 161 p. 69 illus., 50 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Computer Science, $x 1611-3349 ; $v 13175
505 0 $a Evaluation of Machine Learning Methods for Image Classification: A Case Study of Facility Surface Damage -- One-Dimensional Convolutional Neural Network for Detection and Mitigation of DDoS Attacks in SDN -- Multi-Armed Bandit-based Channel Hopping: Implementation on Embedded Devices -- Cross Inference of Throughput Profiles Using Micro Kernel Network Method -- Machine Learning Models for Malicious Traffic Detection in IoT networks /IoT-23 dataset -- Application and Mitigation of the Evasion Attack against a Deep Learning Based IDS for Io -- DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering -- Unsupervised Anomaly Detection using a new Knowledge Graph Model for Network Activity and Events -- Deep Reinforcement Learning for Cost-Effective Controller Placement in Software-Defined Multihop Wireless Networking -- Distance estimation using LORA and neural networks.
520 $a This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Machine Learning for Networking, MLN 2021, held in Paris, France, in December 2021. The 10 revised full papers included in the volume were carefully reviewed and selected from 30 submissions. They present and discuss new trends in in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G systems, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, resource allocation, energy-aware communications, software-defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, and underwater sensor networks.
650 0 $a Data mining. $3 528622
650 0 $a Computer networks . $3 1365720
650 0 $a Application software. $3 528147
650 1 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Computer and Information Systems Applications. $3 1365732
700 1 $a Renault, Éric. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1264766
700 1 $a Boumerdassi, Selma. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1069412
700 1 $a Mühlethaler, Paul. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1298571
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030989774
776 0 8 $i Printed edition: $z 9783030989798
830 0 $a Lecture Notes in Computer Science, $x 0302-9743 ; $v 9324 $3 1258960
856 4 0 $u https://doi.org/10.1007/978-3-030-98978-1
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)