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

Big Data - BigData 2023 = 12th Inter...

International Congress on Big Data (2023 :)

Linked to FindBook

Google Book

Amazon

博客來

Big Data - BigData 2023 = 12th International Conference, held as part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23-26, 2023 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big Data - BigData 2023/ edited by Shunli Zhang, Bo Hu, Liang-Jie Zhang.
Reminder of title:	12th International Conference, held as part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23-26, 2023 : proceedings /
remainder title:	BigData 2023
other author:	Zhang, Shunli.
corporate name:	International Congress on Big Data
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	xiv, 232 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Research Track -- A Survey on Cross-domain Few-Shot Image Classification -- Exploring the Predictive Power of Correlation and Mutual Information in Attention Temporal Graph Convolutional Network for COVID-19 Forecasting -- IoT Lakehouse: A New Data Management Paradigm for AIoT -- HMGR: A Hybrid Model for Geolocation Recommendation -- Non-essential Perspective on Thinking Law of Data Protection and Utilization -- The Shifting Role of Government in Government Data Openness -- How do we talk and feel about COVID-19? Sentiment Analysis of Twitter Topics -- Lightweight Weight Update for Convolutional Neural Networks -- Bioinformatics-based Acquisition Of Alzheimer's Disease Hub Genes -- Application Track -- Enhanced Campus Information Query System based on ChatGPT Interface and Local Content Database -- Prediction of TrkB complex and antidepressant targets leveraging big data -- Does Trust Improve Commercial Insurance Participation Behavior? -- Research on Big Data Empowering Ecological Governance -- Research on Complex Financial Ecosystem Modeling and Traceability Analysis Based on Heterogeneous Graph Attention Networks -- Short Paper Track -- Accelerate SVM Training with OHD-SVM on GPU -- Construction of data security system.
Contained By:	Springer Nature eBook
Subject:	Big data - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-44725-9
ISBN:	9783031447259

Big Data - BigData 2023 = 12th International Conference, held as part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23-26, 2023 : proceedings /
Big Data - BigData 202312th International Conference, held as part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23-26, 2023 : proceedings /[electronic resource] :BigData 2023edited by Shunli Zhang, Bo Hu, Liang-Jie Zhang. - Cham :Springer Nature Switzerland :2023. - xiv, 232 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,142030302-9743 ;. - Lecture notes in computer science ;14203..

Research Track -- A Survey on Cross-domain Few-Shot Image Classification -- Exploring the Predictive Power of Correlation and Mutual Information in Attention Temporal Graph Convolutional Network for COVID-19 Forecasting -- IoT Lakehouse: A New Data Management Paradigm for AIoT -- HMGR: A Hybrid Model for Geolocation Recommendation -- Non-essential Perspective on Thinking Law of Data Protection and Utilization -- The Shifting Role of Government in Government Data Openness -- How do we talk and feel about COVID-19? Sentiment Analysis of Twitter Topics -- Lightweight Weight Update for Convolutional Neural Networks -- Bioinformatics-based Acquisition Of Alzheimer's Disease Hub Genes -- Application Track -- Enhanced Campus Information Query System based on ChatGPT Interface and Local Content Database -- Prediction of TrkB complex and antidepressant targets leveraging big data -- Does Trust Improve Commercial Insurance Participation Behavior? -- Research on Big Data Empowering Ecological Governance -- Research on Complex Financial Ecosystem Modeling and Traceability Analysis Based on Heterogeneous Graph Attention Networks -- Short Paper Track -- Accelerate SVM Training with OHD-SVM on GPU -- Construction of data security system.

This book constitutes the refereed proceedings of the 12th International Conference, BigData 2023, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, during September 23-26, 2023. The 14 full papers presented together with 2 short papers were carefully reviewed and selected from 27 submissions. The conference focuses on research track and application track.

ISBN: 9783031447259

Standard No.: 10.1007/978-3-031-44725-9doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Big Data - BigData 2023 = 12th International Conference, held as part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23-26, 2023 : proceedings /
LDR:02880nmm a2200361 a 4500 001 2334537
003 DE-He213
005 20230922083644.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031447259 $q (electronic bk.)
020 $a 9783031447242 $q (paper)
024 7 $a 10.1007/978-3-031-44725-9 $2 doi
035 $a 978-3-031-44725-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45
072 7 $a UN $2 bicssc
072 7 $a COM021000 $2 bisacsh
072 7 $a UN $2 thema
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b I61 2023
111 2 $a International Congress on Big Data $n (12th : $d 2023 : $c Honolulu, Hawaii) $3 3666208
245 1 0 $a Big Data - BigData 2023 $h [electronic resource] : $b 12th International Conference, held as part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23-26, 2023 : proceedings / $c edited by Shunli Zhang, Bo Hu, Liang-Jie Zhang.
246 3 $a BigData 2023
246 3 $a SCF 2023
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a xiv, 232 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 14203
505 0 $a Research Track -- A Survey on Cross-domain Few-Shot Image Classification -- Exploring the Predictive Power of Correlation and Mutual Information in Attention Temporal Graph Convolutional Network for COVID-19 Forecasting -- IoT Lakehouse: A New Data Management Paradigm for AIoT -- HMGR: A Hybrid Model for Geolocation Recommendation -- Non-essential Perspective on Thinking Law of Data Protection and Utilization -- The Shifting Role of Government in Government Data Openness -- How do we talk and feel about COVID-19? Sentiment Analysis of Twitter Topics -- Lightweight Weight Update for Convolutional Neural Networks -- Bioinformatics-based Acquisition Of Alzheimer's Disease Hub Genes -- Application Track -- Enhanced Campus Information Query System based on ChatGPT Interface and Local Content Database -- Prediction of TrkB complex and antidepressant targets leveraging big data -- Does Trust Improve Commercial Insurance Participation Behavior? -- Research on Big Data Empowering Ecological Governance -- Research on Complex Financial Ecosystem Modeling and Traceability Analysis Based on Heterogeneous Graph Attention Networks -- Short Paper Track -- Accelerate SVM Training with OHD-SVM on GPU -- Construction of data security system.
520 $a This book constitutes the refereed proceedings of the 12th International Conference, BigData 2023, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, during September 23-26, 2023. The 14 full papers presented together with 2 short papers were carefully reviewed and selected from 27 submissions. The conference focuses on research track and application track.
650 0 $a Big data $v Congresses. $3 3166510
650 1 4 $a Big Data. $3 3134868
650 2 4 $a Computer Engineering and Networks. $3 3538504
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Zhang, Shunli. $3 3666209
700 1 $a Hu, Bo. $3 1264684
700 1 $a Zhang, Liang-Jie. $3 912381
710 2 $a Services Conference Federation. $b Conference $d (2023 : $c Honolulu, Hawaii) $3 3666210
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 14203. $3 3666211
856 4 0 $u https://doi.org/10.1007/978-3-031-44725-9
950 $a Computer Science (SpringerNature-11645)