東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Knowledge science, engineering and m...

KSEM (Conference) (2021 :)

Linked to FindBook

Google Book

Amazon

博客來

Knowledge science, engineering and management = 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings.. Part III /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Knowledge science, engineering and management/ edited by Gerard Memmi ... [et al.].
Reminder of title:	15th International Conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings.
remainder title:	KSEM 2022
other author:	Memmi, Gerard.
corporate name:	KSEM (Conference)
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xvi, 753 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Knowledge Management with Optimization and Security (KMOS) -- Study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Training -- Spatial Semantic Learning for Travel Time Estimation -- A Fine-Grained Approach for Vulnerabilities Discovery using Augmented Vulnerability Signatures -- PPBR-FL: a Privacy-preserving and Byzantine-robust Federated Learning System -- GAN-Based Fusion Adversarial Training -- MAST-NER: A Low-Resource Named Entity Recognition Method based on Trigger Pool -- Fuzzy information measures feature selection using descriptive statistics data -- Prompt-Based Self-Training Framework for Few-Shot Named Entity Recognition -- Learning Advisor-Advisee Relationship from Multiplex Network Structure -- CorefDRE: Coref-aware Document-level Relation Extraction -- Single Pollutant Prediction Approach by Fusing MLSTM and CNN -- A Multi-objective Evolutionary Algorithm Based on Multi-layer Network Reduction for Community Detection -- Detection DDoS of attacks based on federated learning with Digital Twin Network -- A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy.
Contained By:	Springer Nature eBook
Subject:	Knowledge acquisition (Expert systems) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-10989-8
ISBN:	9783031109898

Knowledge science, engineering and management = 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings.. Part III /
Knowledge science, engineering and management15th International Conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings.Part III /[electronic resource] :KSEM 2022edited by Gerard Memmi ... [et al.]. - Cham :Springer International Publishing :2022. - xvi, 753 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,133700302-9743 ;. - Lecture notes in computer science ;13370..

Knowledge Management with Optimization and Security (KMOS) -- Study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Training -- Spatial Semantic Learning for Travel Time Estimation -- A Fine-Grained Approach for Vulnerabilities Discovery using Augmented Vulnerability Signatures -- PPBR-FL: a Privacy-preserving and Byzantine-robust Federated Learning System -- GAN-Based Fusion Adversarial Training -- MAST-NER: A Low-Resource Named Entity Recognition Method based on Trigger Pool -- Fuzzy information measures feature selection using descriptive statistics data -- Prompt-Based Self-Training Framework for Few-Shot Named Entity Recognition -- Learning Advisor-Advisee Relationship from Multiplex Network Structure -- CorefDRE: Coref-aware Document-level Relation Extraction -- Single Pollutant Prediction Approach by Fusing MLSTM and CNN -- A Multi-objective Evolutionary Algorithm Based on Multi-layer Network Reduction for Community Detection -- Detection DDoS of attacks based on federated learning with Digital Twin Network -- A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy.

The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6-8, 2022. The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA) Volume II: Knowledge Engineering Research and Applications (KERA) Volume III: Knowledge Management with Optimization and Security (KMOS)

ISBN: 9783031109898

Standard No.: 10.1007/978-3-031-10989-8doiSubjects--Topical Terms:

576358
Knowledge acquisition (Expert systems)
--Congresses.

LC Class. No.: QA76.76.E95 / K74 2021

Dewey Class. No.: 006.331

Knowledge science, engineering and management = 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings.. Part III /
LDR:02971nmm a2200361 a 4500 001 2302491
003 DE-He213
005 20220718231834.0
006 m d
007 cr nn 008maaau
008 230409s2022 sz s 0 eng d
020 $a 9783031109898 $q (electronic bk.)
020 $a 9783031109881 $q (paper)
024 7 $a 10.1007/978-3-031-10989-8 $2 doi
035 $a 978-3-031-10989-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.76.E95 $b K74 2021
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.331 $2 23
090 $a QA76.76.E95 $b K94 2021
111 2 $a KSEM (Conference) $n (15th : $d 2021 : $c Singapore) $3 3602870
245 1 0 $a Knowledge science, engineering and management $h [electronic resource] : $b 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings. $n Part III / $c edited by Gerard Memmi ... [et al.].
246 3 $a KSEM 2022
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xvi, 753 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 13370
490 1 $a Lecture notes in artificial intelligence
505 0 $a Knowledge Management with Optimization and Security (KMOS) -- Study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Training -- Spatial Semantic Learning for Travel Time Estimation -- A Fine-Grained Approach for Vulnerabilities Discovery using Augmented Vulnerability Signatures -- PPBR-FL: a Privacy-preserving and Byzantine-robust Federated Learning System -- GAN-Based Fusion Adversarial Training -- MAST-NER: A Low-Resource Named Entity Recognition Method based on Trigger Pool -- Fuzzy information measures feature selection using descriptive statistics data -- Prompt-Based Self-Training Framework for Few-Shot Named Entity Recognition -- Learning Advisor-Advisee Relationship from Multiplex Network Structure -- CorefDRE: Coref-aware Document-level Relation Extraction -- Single Pollutant Prediction Approach by Fusing MLSTM and CNN -- A Multi-objective Evolutionary Algorithm Based on Multi-layer Network Reduction for Community Detection -- Detection DDoS of attacks based on federated learning with Digital Twin Network -- A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy.
520 $a The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6-8, 2022. The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA) Volume II: Knowledge Engineering Research and Applications (KERA) Volume III: Knowledge Management with Optimization and Security (KMOS)
650 0 $a Knowledge acquisition (Expert systems) $x Congresses. $3 576358
650 0 $a Knowledge management $x Congresses. $3 576333
650 0 $a Decision making $x Data processing $v Congresses. $3 844619
650 0 $a Problem solving $x Data processing $v Congresses. $3 895599
650 0 $a Information technology $v Congresses. $3 543170
650 0 $a Data mining $v Congresses. $3 551626
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Computer Engineering and Networks. $3 3538504
650 2 4 $a Computing Milieux. $3 893243
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 3538516
700 1 $a Memmi, Gerard. $3 2059224
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 13370. $3 3602873
830 0 $a Lecture notes in artificial intelligence. $3 3382562
856 4 0 $u https://doi.org/10.1007/978-3-031-10989-8
950 $a Computer Science (SpringerNature-11645)