Big Data Analyses, Services, and Smart Data -

Big Data Analyses, Services, and Smart Data (eBook)

eBook Download: PDF
2020 | 1. Auflage
IX, 117 Seiten
Springer Singapore (Verlag)
978-981-15-8731-3 (ISBN)
Systemvoraussetzungen
255,73 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
This book covers topics like big data analyses, services, and smart data. It contains (i) invited papers, (ii) selected papers from the Sixth International Conference on Big Data Applications and Services (BigDAS 2018), as well as (iii) extended papers from the Sixth IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019). The aim of BigDAS is to present innovative results, encourage academic and industrial interaction, and promote collaborative research in the field of big data worldwide. BigDAS 2018 was held in Zhengzhou, China, on August 19-22, 2018, and organized by the Korea Big Data Service Society and TusStar. The goal of IEEE BigComp, initiated by Korean Institute of Information Scientists and Engineers (KIISE), is 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 big data and smart computing. IEEE BigComp 2019 was held in Kyoto, Japan, on February 27-March 02, 2019, and co-sponsored by IEEE and KIISE.



Prof. Wookey Lee.  He received his B.S., M.S., and Ph.D. degrees from Seoul National University, South Korea, and his M.S.E. degree from Carnegie Mellon University, USA. Currently, he is the director of VOICE AI institute and a professor at Inha University, South Korea, and has been a visiting professor in Dept. of Computer Science, University of British Columbia, Canada. He won the best paper awards in IEEE TCSC, KORMS, KOSIPER, and KIISE. He currently is the editor-in-chief of the Journal of Information Technology and Architecture, and Journal of Big Data Service, also an associate editor of World Wide Web Journal, Supercomputing, Cluster Computing, Sensors, etc. He has served as the president of Korea DataBase Society and an executive committee member of IEEE TCDE. He has participated as a steering committee of BigComp, and a PC member for APWeb, BigComp, CIKM, IEEE DEST, iiWAS, ITA, and WAIM, and an Organizing Committee member for DASFAA, EA, SRDS, and VLDB, etc. His research interests are Deep Learning, graph search, Voice-informatics, patent information, mobile and Data Warehousing, etc.

Carson Leung is currently a Full Professor at the University of Manitoba, Canada. He obtained his B.Sc. (Hons.), M.Sc. and Ph.D. from the University of British Columbia, Canada. He has published more than 250 papers on the topics of databases, data mining, big data computing, social network analysis, as well as visual analytics-including papers in ACM Transactions on Database Systems (TODS), Social Network Analysis and Mining (SNAM), Future Generation Computer Systems (FGCS), Journal of Organizational Computing and Electronic Commerce (JOCEC), IEEE International Conference on Data Engineering (ICDE), IEEE International Conference on Data Mining (ICDM), and Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Over the past few years, he has served on (i) the Steering Committee of IEEE SmartData 2020, (ii) the Advisory Committee of IEEE CBDCom 2019, (iii) the Organizing Committee of ACM SIGMOD 2008, IEEE/ACM ASONAM 2014, ACM CIKM 2018, IEEE BigComp 2020, IEEE DSAA 2020, and IEEE ICDM 2020. He has also served as (i) a General Chair of IEEE CBDCom 2016 and IEEE SmartData 2018, (ii) a Program Chair of IEEE CBDCom 2020 and IDEAS 2020, as well as (iii) a PC member of numerous international conferences including ACM KDD and ECML/PKDD. He is a senior member of both ACM and IEEE.


Prof. Aziz Nasridinov is currently an Associate Professor of computer science with Chungbuk National University. He received the B.Sc. degree from the Tashkent University of Information Technologies in 2006 and the M.Sc. and Ph.D. degrees from Dongguk University in 2009 and 2012, respectively. Prof. Aziz Nasridinov has published over 20 papers in various high-ranked international journals and conferences. He has also served as a program committee member and co-organizer for numerous top-tier conferences, including ACM SAC, IEEE Big Data, and IEEE Globecom, and also served in the editorial board of several international journals. His research interests include traditional databases, big data analytics with machine learning, and distributed processing system applications.



This book covers topics like big data analyses, services, and smart data. It contains (i) invited papers, (ii) selected papers from the Sixth International Conference on Big Data Applications and Services (BigDAS 2018), as well as (iii) extended papers from the Sixth IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019). The aim of BigDAS is to present innovative results, encourage academic and industrial interaction, and promote collaborative research in the field of big data worldwide. BigDAS 2018 was held in Zhengzhou, China, on August 19-22, 2018, and organized by the Korea Big Data Service Society and TusStar. The goal of IEEE BigComp, initiated by Korean Institute of Information Scientists and Engineers (KIISE), is 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 big data and smart computing. IEEE BigComp 2019was held in Kyoto, Japan, on February 27-March 02, 2019, and co-sponsored by IEEE and KIISE.
Erscheint lt. Verlag 10.9.2020
Reihe/Serie Advances in Intelligent Systems and Computing
Zusatzinfo IX, 117 p. 27 illus., 19 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Schlagworte BigDAS 2018 Proceedings • Big Data and Privacy • Big data applications • Big Data Models and Algorithms • Big Data Search and Mining • Computational Intelligence • internet of things • Multimedia Information Systems • Smart Healthcare • Social Media
ISBN-10 981-15-8731-0 / 9811587310
ISBN-13 978-981-15-8731-3 / 9789811587313
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 6,3 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Praxis-Guide für Künstliche Intelligenz in Unternehmen - Chancen …

von Thomas R. Köhler; Julia Finkeissen

eBook Download (2024)
Campus Verlag
38,99
Wie du KI richtig nutzt - schreiben, recherchieren, Bilder erstellen, …

von Rainer Hattenhauer

eBook Download (2023)
Rheinwerk Computing (Verlag)
24,90