Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1759
Title: Social Network Based Big Data Analysis and Applications /
Authors: Kaya, Mehmet. ; editor. ;;Kawash, Jalal. ; editor. ;;Khoury, Suheil. ; editor. ;;Day, Min-Yuh. ; editor. ;
subject: Social sciences. ;;Data Mining;Social Sciences. ;;Computational Social Sciences. ;;Big Data. ;;Data Mining and Knowledge Discovery;Applications of Graph Theory and Complex Networks. ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Lecture Notes in Social Networks, ; 2190-5428 ;
Lecture Notes in Social Networks, ; 2190-5428 ;
Abstract: This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field. ;
Description: Printed edition: ; Social Network Based Big Data Analysis and Applications ; 9783319781952 ;


QA76


SpringerLink (Online service) ;

URI: http://localhost/handle/Hannan/1759
ISBN: 9783319781969 ; 9783319781952 (Print) ;
More Information: X, 249 p. 89 illus., 77 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

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Title: Social Network Based Big Data Analysis and Applications /
Authors: Kaya, Mehmet. ; editor. ;;Kawash, Jalal. ; editor. ;;Khoury, Suheil. ; editor. ;;Day, Min-Yuh. ; editor. ;
subject: Social sciences. ;;Data Mining;Social Sciences. ;;Computational Social Sciences. ;;Big Data. ;;Data Mining and Knowledge Discovery;Applications of Graph Theory and Complex Networks. ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Lecture Notes in Social Networks, ; 2190-5428 ;
Lecture Notes in Social Networks, ; 2190-5428 ;
Abstract: This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field. ;
Description: Printed edition: ; Social Network Based Big Data Analysis and Applications ; 9783319781952 ;


QA76


SpringerLink (Online service) ;

URI: http://localhost/handle/Hannan/1759
ISBN: 9783319781969 ; 9783319781952 (Print) ;
More Information: X, 249 p. 89 illus., 77 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319781969.pdf6.95 MBAdobe PDFThumbnail
Preview File
Title: Social Network Based Big Data Analysis and Applications /
Authors: Kaya, Mehmet. ; editor. ;;Kawash, Jalal. ; editor. ;;Khoury, Suheil. ; editor. ;;Day, Min-Yuh. ; editor. ;
subject: Social sciences. ;;Data Mining;Social Sciences. ;;Computational Social Sciences. ;;Big Data. ;;Data Mining and Knowledge Discovery;Applications of Graph Theory and Complex Networks. ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Lecture Notes in Social Networks, ; 2190-5428 ;
Lecture Notes in Social Networks, ; 2190-5428 ;
Abstract: This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field. ;
Description: Printed edition: ; Social Network Based Big Data Analysis and Applications ; 9783319781952 ;


QA76


SpringerLink (Online service) ;

URI: http://localhost/handle/Hannan/1759
ISBN: 9783319781969 ; 9783319781952 (Print) ;
More Information: X, 249 p. 89 illus., 77 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319781969.pdf6.95 MBAdobe PDFThumbnail
Preview File