東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Big data analyses, services, and sma...

Lee, Wookey.

FindBook

Google Book

Amazon

博客來

Big data analyses, services, and smart data

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big data analyses, services, and smart data/ edited by Wookey Lee, Carson K. Leung, Aziz Nasridinov.
其他作者:	Lee, Wookey.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	ix, 117 p. :ill., digital ;24 cm.
內容註:	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
標題:	Big data - Congresses. -
電子資源:	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
LDR:03012nmm a2200337 a 4500 001 2235689
003 DE-He213
005 20200910230249.0
006 m d
007 cr nn 008maaau
008 211111s2021 si s 0 eng d
020 $a 9789811587313 $q (electronic bk.)
020 $a 9789811587306 $q (paper)
024 7 $a 10.1007/978-981-15-8731-3 $2 doi
035 $a 978-981-15-8731-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45 $b B54 2021
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b B592 2021
245 0 0 $a Big data analyses, services, and smart data $h [electronic resource] / $c edited by Wookey Lee, Carson K. Leung, Aziz Nasridinov.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a ix, 117 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5357 ; $v v.899
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.
650 0 $a Big data $v Congresses. $3 3166510
650 0 $a Artificial intelligence $v Congresses. $3 606815
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Communications Engineering, Networks. $3 891094
700 1 $a Lee, Wookey. $3 3297635
700 1 $a Leung, Carson K. $3 3412337
700 1 $a Nasridinov, Aziz. $3 3486422
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Advances in intelligent systems and computing ; $v v.899. $3 3486423
856 4 0 $u https://doi.org/10.1007/978-981-15-8731-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)