Big Data Analyses, Services, and Smart Data

127 Pages·2020·5.819 MB·English

by  Wookey Lee, Carson K. Leung, Aziz Nasridinov

Advances in Intelligent Systems and Computing 899
Wookey Lee
Carson K. Leung
Aziz Nasridinov   Editors
Big Data
Analyses,
Services, and
Smart Data
Advances in Intelligent Systems and Computing
Volume 899
Series Editor
Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences,
Warsaw, Poland
Advisory Editors
Nikhil R. Pal, Indian Statistical Institute, Kolkata, India
Rafael Bello Perez, Faculty of Mathematics, Physics and Computing,
Universidad Central de Las Villas, Santa Clara, Cuba
Emilio S. Corchado, University of Salamanca, Salamanca, Spain
Hani Hagras, School of Computer Science and Electronic Engineering,
University of Essex, Colchester, UK
László T. Kóczy, Department of Automation, Széchenyi István University,
Gyor, Hungary
Vladik Kreinovich, Department of Computer Science, University of Texas
at El Paso, El Paso, TX, USA
Chin-Teng Lin, Department of Electrical Engineering, National Chiao
Tung University, Hsinchu, Taiwan
Jie Lu, Faculty of Engineering and Information Technology,
University of Technology Sydney, Sydney, NSW, Australia
Patricia Melin, Graduate Program of Computer Science, Tijuana Institute
of Technology, Tijuana, Mexico
NadiaNedjah,DepartmentofElectronicsEngineering,UniversityofRiodeJaneiro,
Rio de Janeiro, Brazil
Ngoc Thanh Nguyen , Faculty of Computer Science and Management,
Wrocław University of Technology, Wrocław, Poland
Jun Wang, Department of Mechanical and Automation Engineering,
The Chinese University of Hong Kong, Shatin, Hong Kong
Theseries“AdvancesinIntelligentSystemsandComputing”containspublications
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Wookey Lee Carson K. Leung
(cid:129) (cid:129)
Aziz Nasridinov
Editors
Big Data Analyses, Services,
and Smart Data
123
Editors
WookeyLee CarsonK.Leung
Department ofIndustrial Engineering Department ofComputer Science
InhaUniversity University of Manitoba
Incheon, Korea (Republicof) Winnipeg, MB,Canada
Aziz Nasridinov
Department ofComputer Science
Chungbuk National University
Cheongju, Korea (Republicof)
ISSN 2194-5357 ISSN 2194-5365 (electronic)
Advances in Intelligent Systems andComputing
ISBN978-981-15-8730-6 ISBN978-981-15-8731-3 (eBook)
https://doi.org/10.1007/978-981-15-8731-3
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Preface
Nowadays, large volumes of valuable data, which may be of different levels of
veracity, can be easily generated and collected at a high velocity from a wide
varietyofdatasourcesinvariousreal-lifeapplicationsandservices.Thesebigdata
havebecomeacoretechnologytoprovideinnovativesolutionsinmanyfieldssuch
ashealthcare,manufacturing,andsociallife.Moreover,bigdata,bigdataanalyses,
big data applications, big data services, smart computing, and smart data have
become emerging research fields that have recently drawn much attention from
computer science and information technology as well as from social sciences and
other disciplines.
The current volume focuses on big data analyses, services, and smart data. It
consists of the following:
(cid:129) Invited papers;
(cid:129) Selected papers from the Sixth International Conference on Big Data
Applications and Services (BigDAS 2018); and
(cid:129) ExtendedpapersfromtheSixthIEEEInternationalConferenceonBigDataand
Smart Computing (IEEE BigComp 2019).
The International ConferenceonBigDataApplicationsandServices(BigDAS)
aimstoaddresstheneedoftheacademiccommunityandindustryaboutbigdata.It
encouragesacademicandindustrialinteractionandpromotescollaborativeresearch
in big data applications and services by bringing together academics, government,
and industry professionals to discuss recent progress and challenges in big data
applications and services. Moreover, BigDAS also serves as a platform for theo-
reticians and practitioners toexchangetheir original researchideas onacademicor
industrialaspectsofbigdataapplicationsandservices,presenttheirnewfindingsor
innovative results on theoretical or practical aspects of big data, share their expe-
riencesonintegratingnewtechnologiesintoproductsandapplications,discusstheir
work on performing big data applications and services in real-life situations,
describetheirdevelopment and operations of challenging bigdata-related systems,
and identify unsolved challenges.
v
vi Preface
The BigDAS 2018 was the sixth edition of the conference held on August 19–
22, 2018, in Zhengzhou, China, with successful previous events listed below:
(cid:129) BigDAS2015—held in conjunction withthe 2015 International Conference on
Digital Information Management (ICDIM 2015)—on October 20–23, 2015, in
Jeju Island, South Korea;
(cid:129) BigDAS 2016 on January 22–27, 2016, in Phnom Penh, Cambodia;
(cid:129) BigDAS-L 2016 on December 20–23, 2016, in Vientiane, Laos;
(cid:129) BigDAS 2017 on August 15–18, 2017, in Tashkent, Uzbekistan; and
(cid:129) 5thBigDAS—heldaspartoftheAsiaDataWeek(ADW)2017—onNovember
23–25, 2017, in Jeju Island, South Korea.
BigDAS2018washostedbyKoreaBigDataServiceSociety,whichorganized
the conference together with Korea China Yeouido Leaders Forum and TusStar.
General Chairs (Joo-Yeoun Lee, Hye-Kyung Kim, Shou-zhi Yu, Zhang Xu, &
WenxueZhu)andProgramChairs(WookeyLee,CarsonK.Leung,YanBoHui,&
Hae-JungKim)ofBigDAS2018invitedauthorstosubmitoriginalresearchpapers
on big data applications and services, with focuses on various topics such as big
dataanalytics,bigdataapplications,bigdataframeworks,bigdatainbusiness,big
datainhealthcare,bigdatainindustry,bigdatamodels,bigdatasecurity,andbig
data visualization. At the end, BigDAS 2018 attracted many submissions, from
which the Program Committee selected 48 conference papers and 39 posters. Out
of these papers, a few high-quality papers were selected to be included in the
current volume.
For BigDAS 2018, the General Chairs and Program Chairs, together with the
Organizing Committee—including Organizing Chairs (Kwan-Hee Yoo, Wan-Sup
Cho, Yoo-Sung Kim, Che Zhong Rui, & Man-Ki Chung), Publicity Chairs
(Sang-HyunChoi,Seon-PhillJeong,&MunGul),IndustryChairs(Tae-SungKim,
Soo-youngChae,Sang-HyunLee,QianjinLai,&Man-KyoSeo),IndustryLiaison
Chairs (Duck-Keun Park, Jung-Tae Kang, & Jong-Sul Chae), Demo/Poster Chairs
(Su-Young Chi, Nak-hoon Baek, Jo Hyeon, & Tan Wei), Registration Chairs
(Young-HoPark,Yong-IkYoonLie,&ChangLin),TutorialChairs(Jin-HoKim&
Supratip Ghose), Web Chairs (Young-Koo Lee & Jin-young Choi), Local
Arrangement Chairs (Aziz Nasridinov& Yong-BongKim), International Advisors
(Jong-beom Lee, Tae-Kyung Kim, & Shen Jie Xia), Special Session Chairs
(Eun-mi Choi, Takeshi Kurata, Jae-Il Park, Young-Kyum Kim, & Kyu-Tae Lee),
and Sponsor Chairs (Sung-joon Yoo, Jong-Seok Myong, Myong-Suk Jung,
Jung-Min Yun, Kwang-Soo Lee, Sang-Yeub Kim, Yun-Jae Lee, Dae-Young Kim,
& Ho-Kun Chae)—produced a useful and inspiring conference program with the
themeof“powertochange theworld,bigdata.”It consists ofeight paper sessions
and four poster sessions for the presentation of the 48 conference papers and 39
posters, as well as the following five keynotes:
(cid:129) “Towards ubiquitous big data analytics and management: research issues and
challenges” by Hiroyuki Kitagawa;
Preface vii
(cid:129) “Programmable matter: forming objects with modular robots” by Julien
Bourgeois;
(cid:129) “Data science for big data applications and services” by Carson K. Leung;
(cid:129) “Social network analysis in big data era” by Chaokun Wang; and
(cid:129) “Erautilizingexplainableartificialintelligenceforpowerandenergy”byHo-Jin
Choi.
Thenext(i.e.,seventh)editionoftheconference—BigDAS2019—isscheduled
tobeheldonAugust21–24,2019,inJejuIsland,SouthKorea.Itwillbeorganized
and sponsored by Korea Big Data Service Society, Jeju National University—
Software Convergence Education Center, and Chungbak National University
(CBNU)—BigDataResearchInstitute.Itwillcomprisethreekeynotespeeches(by
CarsonK.Leung,ErelRosenberg,andYeong-ilSeo),sixtechnicalandtwoposter
sessions, as well as five colocated workshops.
LikeBigDAS,theInternationalConferenceonBigDataandSmartComputing
(BigComp) also aims to provide an international forum for exchanging ideas and
information on current studies, challenges, research results, system developments,
and practical experiences in the emerging fields of computer science and infor-
mationtechnology,aswellassocialsciencesandotherdisciplines.Theconference
was initiated by the Korean Institute of Information Scientists and Engineers
(KIISE).
The IEEE BigComp 2019 was the sixth edition of the conference held on
February 27–March 2, 2019, in Kyoto, Japan, with successful previous events
listed below:
(cid:129) BigComp 2014 on January 15–17, 2014, in Bangkok, Thailand;
(cid:129) BigComp 2015 on February 09–12, 2015, in Jeju Island, South Korea;
(cid:129) BigComp 2016 on January 18–20, 2016, in Hong Kong, China;
(cid:129) IEEEBigComp2017onFebruary13–16,2017,inJejuIsland,SouthKorea;and
(cid:129) IEEE BigComp 2018 on January 15–18, 2018, in Shanghai, China.
IEEE BigComp 2019 was co-sponsored by the IEEE, IEEE Computer Society
and KIISE, in cooperation with the Database Society of Japan (DBSJ). General
Chairs (Masatoshi Yoshikawa & Jongwon Choe) and Program Chairs (Hiroyuki
Kitagawa, Walid Saad, Kyuseok Shim, & Jie Tang) of BigComp 2019 invited
authorstosubmitoriginalresearchpapersandoriginalwork-in-progressreportson
big data and smart computing, with focuses on various topics such as big data &
cloud systems, data mining, embedding & ontology, face recognition & speech,
machine learning, mobility & location data, network & Internet of things (IoT),
query processing, smart city, social media, spatial data & query, text & natural
language, time series, traffic analysis, as well as visual data & virtual reality (VR).
IEEE BigComp 2019 attracted 170 paper submissions, from which the Program
Committee selected 39 regular papers and 34 short papers. These 73 conference
papers, together with papers from seven workshops and abstracts of the two key-
notes (by Zachary Ives & Raymond Ng), were published in an IEEE conference
viii Preface
proceedings. Out of these papers, a few high-quality papers were invited for
extension and expansion to be included in the current volume.
The next edition of the conference—IEEE BigComp 2020—is scheduled to be
held on February 19–22, 2020, in Busan, South Korea. It will comprise three
keynote speeches (by Masaru Kitsuregawa, Jiawei Han, and Sung-Bae Cho), sev-
eral technical sessions, tutorials, and workshops.
Asforthecurrentvolume,itwouldnothavebeenpossiblewithoutthehelpand
effort of many people and organizations. We express our thanks to the Organizing
Committee, Program Committee, hosts, and sponsors of BigDAS 2018 and IEEE
BigComp 2019.Wethankauthorsandnon-authorparticipantsofbothconferences.
We are grateful to reviewers for their professionalism and dedication in different
aspects, especially in the selection of papers presented in the current volume. Last
butnotleast,wethankthestaffatSpringer(especially,SmithChae,EugeneHong,
Annie Kang, Prashanth Ravichandran) for their help in publishing the current
volume.
July 2019 Wookey Lee
Carson K. Leung
Aziz Nasridinov
Contents
Analysis of the Effects of Nature and Facility Environmental
Attributes on the Cause of Death from Disease . . . . . . . . . . . . . . . . . . . 1
Kyoung-ae Jang and Woo-Je Kim
Big Data Computing and Mining in a Smart World . . . . . . . . . . . . . . . 15
Carson K. Leung
Data Science for Big Data Applications and Services: Data Lake
Management, Data Analytics and Visualization . . . . . . . . . . . . . . . . . . . 28
Carson K. Leung
Detection of Editing Bursts and Extraction of Significant
Keyphrases from Wikipedia Edit History. . . . . . . . . . . . . . . . . . . . . . . . 45
Zihang Chen and Mizuho Iwaihara
Emotion Detection on Twitter Textual Data. . . . . . . . . . . . . . . . . . . . . . 66
Fan Jiang and Colton Aarts
Factors Affecting an Organization’s Information Security
Performance: The Characteristics of Information
Security Officers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77
Ha-Kyeong Oh and Tae-Sung Kim
An Empirical Investigation of Customer Loyalty in Chinese
Smartphone Markets with Large-Scale Data: Apple, Samsung,
and Xiaomi Cases. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85
Hyung Jin Kim, Xiao Qing Ding, and Ho Geun Lee
Vertical Data Mining from Relational Data and Its Application
to COVID-19 Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106
Pranjal Gupta, Calvin S. H. Hoi, Carson K. Leung, Ye Yuan,
Xiaoke Zhang, and Zhida Zhang
Author Index.. .... .... .... ..... .... .... .... .... .... ..... .... 117
ix