Correlation feature of big data in smart cities

Yi Zhang; Xiaolan Tang; Bowen Du; Weilin Liu; Juhua Pu; Yujun Chen

doi:10.1007/978-3-319-32055-7_19

Correlation feature of big data in smart cities

Yi Zhang
, Xiaolan Tang
, Bowen Du
, Weilin Liu
, Juhua Pu^*
, Yujun Chen

^*此作品的通讯作者

交通科学与工程学院

Beihang University
Capital Normal University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

Smart cities are constantly faced with the generated data resources. To effectively manage and utilize the big city data, data vitalization technology is proposed. Considering the complex and diverse relationships among the big data, data correlation is very important for data vitalization. This paper presents a framework for data correlation and depicts the discovery, representation and growth of data correlation. In particular, this paper proposes an innovative representation of data correlation, namely the data correlation diagram. Based on the basic and the multi-stage data relations, we optimize the data correlation diagrams according to the transitive rules. We also design dynamic data diagrams to support data and relation changes, reducing the response time to data changes and enabling the autonomous growth of the vitalized data and the relations. Finally an instance of smart behaviors is introduced which verifies the feasibility and efficiency of the data relation diagram.

源语言	英语
主期刊名	Database Systems for Advanced Applications - DASFAA 2016 International Workshops
主期刊副标题	BDMS, BDQM, MoI, and SeCoP, Proceedings
编辑	Jinho Kim, Hong Gao, Yasushi Sakurai
出版商	Springer Verlag
页	223-237
页数	15
ISBN（印刷版）	9783319320540
DOI	https://doi.org/10.1007/978-3-319-32055-7_19
出版状态	已出版 - 2016
活动	International Workshop on Database Systems for Advanced Applications, DASFAA 2016 - Dallas, 美国期限: 16 4月 2016 → 19 4月 2016

丛书

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	9645
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	International Workshop on Database Systems for Advanced Applications, DASFAA 2016
国家/地区	美国
市	Dallas
时期	16/04/16 → 19/04/16

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 11 可持续城市和社区

访问文件

10.1007/978-3-319-32055-7_19

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhang, Y., Tang, X., Du, B., Liu, W., Pu, J., & Chen, Y. (2016). Correlation feature of big data in smart cities. 在 J. Kim, H. Gao, & Y. Sakurai (版本), Database Systems for Advanced Applications - DASFAA 2016 International Workshops: BDMS, BDQM, MoI, and SeCoP, Proceedings (页码 223-237). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9645). Springer Verlag. https://doi.org/10.1007/978-3-319-32055-7_19

Zhang, Yi ; Tang, Xiaolan ; Du, Bowen 等. / Correlation feature of big data in smart cities. Database Systems for Advanced Applications - DASFAA 2016 International Workshops: BDMS, BDQM, MoI, and SeCoP, Proceedings. 编辑 / Jinho Kim ; Hong Gao ; Yasushi Sakurai. Springer Verlag, 2016. 页码 223-237 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{17859d5026c240faac01944c9821f790,

title = "Correlation feature of big data in smart cities",

abstract = "Smart cities are constantly faced with the generated data resources. To effectively manage and utilize the big city data, data vitalization technology is proposed. Considering the complex and diverse relationships among the big data, data correlation is very important for data vitalization. This paper presents a framework for data correlation and depicts the discovery, representation and growth of data correlation. In particular, this paper proposes an innovative representation of data correlation, namely the data correlation diagram. Based on the basic and the multi-stage data relations, we optimize the data correlation diagrams according to the transitive rules. We also design dynamic data diagrams to support data and relation changes, reducing the response time to data changes and enabling the autonomous growth of the vitalized data and the relations. Finally an instance of smart behaviors is introduced which verifies the feasibility and efficiency of the data relation diagram.",

keywords = "Big data, Data correlation, Data vitalization, Smart cities",

author = "Yi Zhang and Xiaolan Tang and Bowen Du and Weilin Liu and Juhua Pu and Yujun Chen",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; International Workshop on Database Systems for Advanced Applications, DASFAA 2016 ; Conference date: 16-04-2016 Through 19-04-2016",

year = "2016",

doi = "10.1007/978-3-319-32055-7\_19",

language = "英语",

isbn = "9783319320540",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "223--237",

editor = "Jinho Kim and Hong Gao and Yasushi Sakurai",

booktitle = "Database Systems for Advanced Applications - DASFAA 2016 International Workshops",

address = "德国",

}

Zhang, Y, Tang, X, Du, B, Liu, W, Pu, J & Chen, Y 2016, Correlation feature of big data in smart cities. 在 J Kim, H Gao & Y Sakurai (版本), Database Systems for Advanced Applications - DASFAA 2016 International Workshops: BDMS, BDQM, MoI, and SeCoP, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 9645, Springer Verlag, 页码 223-237, International Workshop on Database Systems for Advanced Applications, DASFAA 2016, Dallas, 美国, 16/04/16. https://doi.org/10.1007/978-3-319-32055-7_19

Correlation feature of big data in smart cities. / Zhang, Yi; Tang, Xiaolan; Du, Bowen 等.
Database Systems for Advanced Applications - DASFAA 2016 International Workshops: BDMS, BDQM, MoI, and SeCoP, Proceedings. 编辑 / Jinho Kim; Hong Gao; Yasushi Sakurai. Springer Verlag, 2016. 页码 223-237 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9645).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Correlation feature of big data in smart cities

AU - Zhang, Yi

AU - Tang, Xiaolan

AU - Du, Bowen

AU - Liu, Weilin

AU - Pu, Juhua

AU - Chen, Yujun

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Smart cities are constantly faced with the generated data resources. To effectively manage and utilize the big city data, data vitalization technology is proposed. Considering the complex and diverse relationships among the big data, data correlation is very important for data vitalization. This paper presents a framework for data correlation and depicts the discovery, representation and growth of data correlation. In particular, this paper proposes an innovative representation of data correlation, namely the data correlation diagram. Based on the basic and the multi-stage data relations, we optimize the data correlation diagrams according to the transitive rules. We also design dynamic data diagrams to support data and relation changes, reducing the response time to data changes and enabling the autonomous growth of the vitalized data and the relations. Finally an instance of smart behaviors is introduced which verifies the feasibility and efficiency of the data relation diagram.

AB - Smart cities are constantly faced with the generated data resources. To effectively manage and utilize the big city data, data vitalization technology is proposed. Considering the complex and diverse relationships among the big data, data correlation is very important for data vitalization. This paper presents a framework for data correlation and depicts the discovery, representation and growth of data correlation. In particular, this paper proposes an innovative representation of data correlation, namely the data correlation diagram. Based on the basic and the multi-stage data relations, we optimize the data correlation diagrams according to the transitive rules. We also design dynamic data diagrams to support data and relation changes, reducing the response time to data changes and enabling the autonomous growth of the vitalized data and the relations. Finally an instance of smart behaviors is introduced which verifies the feasibility and efficiency of the data relation diagram.

KW - Big data

KW - Data correlation

KW - Data vitalization

KW - Smart cities

UR - https://www.scopus.com/pages/publications/84964049243

U2 - 10.1007/978-3-319-32055-7_19

DO - 10.1007/978-3-319-32055-7_19

M3 - 会议稿件

AN - SCOPUS:84964049243

SN - 9783319320540

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 223

EP - 237

BT - Database Systems for Advanced Applications - DASFAA 2016 International Workshops

A2 - Kim, Jinho

A2 - Gao, Hong

A2 - Sakurai, Yasushi

PB - Springer Verlag

T2 - International Workshop on Database Systems for Advanced Applications, DASFAA 2016

Y2 - 16 April 2016 through 19 April 2016

ER -

Zhang Y, Tang X, Du B, Liu W, Pu J, Chen Y. Correlation feature of big data in smart cities. 在 Kim J, Gao H, Sakurai Y, 编辑, Database Systems for Advanced Applications - DASFAA 2016 International Workshops: BDMS, BDQM, MoI, and SeCoP, Proceedings. Springer Verlag. 2016. 页码 223-237. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-32055-7_19

Correlation feature of big data in smart cities

摘要

丛书

会议

联合国可持续发展目标

访问文件

其它文件与链接

学术指纹

引用此