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Big data analyses, services, and sma...

Lee, Wookey.

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Big data analyses, services, and smart data

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data analyses, services, and smart data/ edited by Wookey Lee, Carson K. Leung, Aziz Nasridinov.
other author:	Lee, Wookey.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	ix, 117 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Analysis of the Effects of Nature and Facility Environmental Attributes on the Cause of Death from Disease -- Chapter 2. Big Data Computing and Mining in a Smart World -- Chapter 3. Data Science for Big Data Applications and Services: Data Lake Management, Data Analytics and Visualization -- Chapter 4. Detection of Editing Bursts and Extraction of Significant Keyphrases from Wikipedia Edit History -- Chapter 5. Emotion Detection on Twitter Textual Data -- Chapter 6. Factors Affecting an Organization's Information Security Performance: The Characteristics of Information Security Officers -- Chapter 7. Living Labs as the Methodology: Using for Verifying Certification Criteria of New Convergence Products -- Chapter 8. Vertical Data Mining from Relational Data and Its Application to COVID-19.
Contained By:	Springer Nature eBook
Subject:	Big data - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-15-8731-3
ISBN:	9789811587313

Big data analyses, services, and smart data
Big data analyses, services, and smart data[electronic resource] /edited by Wookey Lee, Carson K. Leung, Aziz Nasridinov. - Singapore :Springer Singapore :2021. - ix, 117 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.8992194-5357 ;. - Advances in intelligent systems and computing ;v.899..

Chapter 1. Analysis of the Effects of Nature and Facility Environmental Attributes on the Cause of Death from Disease -- Chapter 2. Big Data Computing and Mining in a Smart World -- Chapter 3. Data Science for Big Data Applications and Services: Data Lake Management, Data Analytics and Visualization -- Chapter 4. Detection of Editing Bursts and Extraction of Significant Keyphrases from Wikipedia Edit History -- Chapter 5. Emotion Detection on Twitter Textual Data -- Chapter 6. Factors Affecting an Organization's Information Security Performance: The Characteristics of Information Security Officers -- Chapter 7. Living Labs as the Methodology: Using for Verifying Certification Criteria of New Convergence Products -- Chapter 8. Vertical Data Mining from Relational Data and Its Application to COVID-19.

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.

ISBN: 9789811587313

Standard No.: 10.1007/978-981-15-8731-3doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45 / B54 2021

Dewey Class. No.: 005.7

Big data analyses, services, and smart data
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505 0 $a Chapter 1. Analysis of the Effects of Nature and Facility Environmental Attributes on the Cause of Death from Disease -- Chapter 2. Big Data Computing and Mining in a Smart World -- Chapter 3. Data Science for Big Data Applications and Services: Data Lake Management, Data Analytics and Visualization -- Chapter 4. Detection of Editing Bursts and Extraction of Significant Keyphrases from Wikipedia Edit History -- Chapter 5. Emotion Detection on Twitter Textual Data -- Chapter 6. Factors Affecting an Organization's Information Security Performance: The Characteristics of Information Security Officers -- Chapter 7. Living Labs as the Methodology: Using for Verifying Certification Criteria of New Convergence Products -- Chapter 8. Vertical Data Mining from Relational Data and Its Application to COVID-19.
520 $a 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.
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