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Big data, cloud computing, data scie...

IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (2018 :)

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Big data, cloud computing, data science & engineering

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data, cloud computing, 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 : : 2019.,
Description:	xiii, 189 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Chapter 1. Designing a method of data transfer using dual message queue brokers in an IoT environment (Hyun-Seong Lee) -- Chapter 2. Bluetooth Low Energy Plate and PDR Hybrid for Indoor Navigation (Hee-Yong Kang) -- Chapter 3. A Study on the Common Collaboration Platform Activation of Cloud-based Manufacturing Supply Management System (SCM) (Sanhae Kim) -- Chapter 4. Service Management and Model Driven Management (Haeng-Kon Kim) -- Chapter 5. Measuring the Effectiveness of E-Wallet in Malaysia (Faisal Nizam) -- Chapter 6. Designing of Domain Modeling for Mobile Applications Development (Haeng-Kon Kim) etc.
Contained By:	Springer eBooks
Subject:	Big data - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-319-96803-2
ISBN:	9783319968032

Big data, cloud computing, data science & engineering
Big data, cloud computing, data science & engineering[electronic resource] /edited by Roger Lee. - Cham :Springer International Publishing :2019. - xiii, 189 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7861860-949X ;. - Studies in computational intelligence ;v.786..

Chapter 1. Designing a method of data transfer using dual message queue brokers in an IoT environment (Hyun-Seong Lee) -- Chapter 2. Bluetooth Low Energy Plate and PDR Hybrid for Indoor Navigation (Hee-Yong Kang) -- Chapter 3. A Study on the Common Collaboration Platform Activation of Cloud-based Manufacturing Supply Management System (SCM) (Sanhae Kim) -- Chapter 4. Service Management and Model Driven Management (Haeng-Kon Kim) -- Chapter 5. Measuring the Effectiveness of E-Wallet in Malaysia (Faisal Nizam) -- Chapter 6. Designing of Domain Modeling for Mobile Applications Development (Haeng-Kon Kim) etc.

This book presents the outcomes of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2018), which was held on July 10-12, 2018 in Kanazawa. The aim of the conference was to bring together researchers and scientists, businesspeople and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science, to share their experiences, and to exchange new ideas and information in a meaningful way. 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 are all explored here. The conference organizers selected the best papers from among those accepted for presentation. The papers were chosen on the basis of review scores submitted by members of the program committee and subsequently underwent further rigorous review. Following this second round of review, 13 of the conference's most promising papers were selected for this Springer (SCI) book. We eagerly await the important contributions that we know these authors will make to the field of computer and information science.

ISBN: 9783319968032

Standard No.: 10.1007/978-3-319-96803-2doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45 / I44 2019

Dewey Class. No.: 005.7

Big data, cloud computing, data science & engineering
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245 1 0 $a Big data, cloud computing, data science & engineering $h [electronic resource] / $c edited by Roger Lee.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xiii, 189 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.786
505 0 $a Chapter 1. Designing a method of data transfer using dual message queue brokers in an IoT environment (Hyun-Seong Lee) -- Chapter 2. Bluetooth Low Energy Plate and PDR Hybrid for Indoor Navigation (Hee-Yong Kang) -- Chapter 3. A Study on the Common Collaboration Platform Activation of Cloud-based Manufacturing Supply Management System (SCM) (Sanhae Kim) -- Chapter 4. Service Management and Model Driven Management (Haeng-Kon Kim) -- Chapter 5. Measuring the Effectiveness of E-Wallet in Malaysia (Faisal Nizam) -- Chapter 6. Designing of Domain Modeling for Mobile Applications Development (Haeng-Kon Kim) etc.
520 $a This book presents the outcomes of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2018), which was held on July 10-12, 2018 in Kanazawa. The aim of the conference was to bring together researchers and scientists, businesspeople and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science, to share their experiences, and to exchange new ideas and information in a meaningful way. 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 are all explored here. The conference organizers selected the best papers from among those accepted for presentation. The papers were chosen on the basis of review scores submitted by members of the program committee and subsequently underwent further rigorous review. Following this second round of review, 13 of the conference's most promising papers were selected for this Springer (SCI) book. We eagerly await the important contributions that we know these authors will make to the field of computer and information science.
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 Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
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856 4 0 $u https://doi.org/10.1007/978-3-319-96803-2
950 $a Intelligent Technologies and Robotics (Springer-42732)