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Big data, cloud computing, and data ...

IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (2019 :)

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Big data, cloud computing, and data science engineering

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data, cloud computing, and data science engineering/ edited by Roger Lee.
other author:	Lee, Roger.
corporate name:	IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xiii, 214 p. :ill., digital ;24 cm.
[NT 15003449]:	Robust Optimization Model for Designing Emerging Cloud-Fog Networks -- Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradients Method in 3D Control Tasks -- Learning Neural Circuit by AC Operation and Frequency Signal Output -- IoTDoc: A Docker-Container based Architecture of IoT-enabled cloud system -- A Survival Analysis-Based Prioritization of Code CheckerWarning: A Case Study using PMD -- Elevator Monitoring System to Guide User's Behavior by Visualizing the State 0f Crowdedness -- Choice Behavior Analysis of Internet Access Services Using Supervised Learning Models -- Norm-referenced Criteria for Strength of the Upper limbs for the Korean High School Baseball Players Using Computer Assisted Isokinetic Equipment -- A Feature Point Extraction and Comparison Method through Representative Frame Extraction and Distortion Correction for 360 Degree Realistic Contents -- Dimension Reduction by Word Clustering with Semantic Distance -- Word-Emotion Lexicon for Myanmar Language -- Release from the Curse of High Dimensional Data Analysis -- Evaluation of Inertial Sensor Configurations for Wearable Gait Analysis -- Index.
Contained By:	Springer eBooks
Subject:	Big data - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-24405-7
ISBN:	9783030244057

Big data, cloud computing, and data science engineering
Big data, cloud computing, and data science engineering[electronic resource] /edited by Roger Lee. - Cham :Springer International Publishing :2020. - xiii, 214 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.8441860-949X ;. - Studies in computational intelligence ;v.844..

Robust Optimization Model for Designing Emerging Cloud-Fog Networks -- Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradients Method in 3D Control Tasks -- Learning Neural Circuit by AC Operation and Frequency Signal Output -- IoTDoc: A Docker-Container based Architecture of IoT-enabled cloud system -- A Survival Analysis-Based Prioritization of Code CheckerWarning: A Case Study using PMD -- Elevator Monitoring System to Guide User's Behavior by Visualizing the State 0f Crowdedness -- Choice Behavior Analysis of Internet Access Services Using Supervised Learning Models -- Norm-referenced Criteria for Strength of the Upper limbs for the Korean High School Baseball Players Using Computer Assisted Isokinetic Equipment -- A Feature Point Extraction and Comparison Method through Representative Frame Extraction and Distortion Correction for 360 Degree Realistic Contents -- Dimension Reduction by Word Clustering with Semantic Distance -- Word-Emotion Lexicon for Myanmar Language -- Release from the Curse of High Dimensional Data Analysis -- Evaluation of Inertial Sensor Configurations for Wearable Gait Analysis -- Index.

This edited book presents the scientific outcomes of the 4th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2019) which was held on May 29-31, 2019 in Honolulu, Hawaii. The aim of the conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Presenting 15 of the conference's most promising papers, the book discusses all aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them.

ISBN: 9783030244057

Standard No.: 10.1007/978-3-030-24405-7doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Big data, cloud computing, and data science engineering
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111 2 $a IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering $n (4th : $d 2019 : $c Honolulu, Hawaii) $3 3443405
245 1 0 $a Big data, cloud computing, and data science engineering $h [electronic resource] / $c edited by Roger Lee.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xiii, 214 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.844
505 0 $a Robust Optimization Model for Designing Emerging Cloud-Fog Networks -- Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradients Method in 3D Control Tasks -- Learning Neural Circuit by AC Operation and Frequency Signal Output -- IoTDoc: A Docker-Container based Architecture of IoT-enabled cloud system -- A Survival Analysis-Based Prioritization of Code CheckerWarning: A Case Study using PMD -- Elevator Monitoring System to Guide User's Behavior by Visualizing the State 0f Crowdedness -- Choice Behavior Analysis of Internet Access Services Using Supervised Learning Models -- Norm-referenced Criteria for Strength of the Upper limbs for the Korean High School Baseball Players Using Computer Assisted Isokinetic Equipment -- A Feature Point Extraction and Comparison Method through Representative Frame Extraction and Distortion Correction for 360 Degree Realistic Contents -- Dimension Reduction by Word Clustering with Semantic Distance -- Word-Emotion Lexicon for Myanmar Language -- Release from the Curse of High Dimensional Data Analysis -- Evaluation of Inertial Sensor Configurations for Wearable Gait Analysis -- Index.
520 $a This edited book presents the scientific outcomes of the 4th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2019) which was held on May 29-31, 2019 in Honolulu, Hawaii. The aim of the conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Presenting 15 of the conference's most promising papers, the book discusses all aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them.
650 0 $a Big data $v Congresses. $3 3166510
650 0 $a Cloud computing $v Congresses. $3 1085446
650 0 $a Software engineering $x Congresses. $3 696781
650 1 4 $a Data Engineering. $3 3409361
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Big Data. $3 3134868
700 1 $a Lee, Roger. $3 898481
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773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.844. $3 3443406
856 4 0 $u https://doi.org/10.1007/978-3-030-24405-7
950 $a Intelligent Technologies and Robotics (Springer-42732)