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عنوان: Social Network Based Big Data Analysis and Applications /
پدیدآورنده: Kaya, Mehmet. ; editor. ;;Kawash, Jalal. ; editor. ;;Khoury, Suheil. ; editor. ;;Day, Min-Yuh. ; editor. ;
کلید واژه ها: Social sciences. ;;Data Mining;Social Sciences. ;;Computational Social Sciences. ;;Big Data. ;;Data Mining and Knowledge Discovery;Applications of Graph Theory and Complex Networks. ;
تاریخ انتشار: 2018
محل نشر: Cham :
ناشر: Springer International Publishing :
Imprint: Springer,
فروست / شماره : Lecture Notes in Social Networks, ; 2190-5428 ;
Lecture Notes in Social Networks, ; 2190-5428 ;
چکیده: 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. ;
توضیحات : Printed edition: ; Social Network Based Big Data Analysis and Applications ; 9783319781952 ;


QA76


SpringerLink (Online service) ;

آدرس: http://localhost/handle/Hannan/1759
شابک : 9783319781969 ; 9783319781952 (Print) ;
اطلاعات بیشتر: X, 249 p. 89 illus., 77 illus. in color. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9783319781969.pdf6.95 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Social Network Based Big Data Analysis and Applications /
پدیدآورنده: Kaya, Mehmet. ; editor. ;;Kawash, Jalal. ; editor. ;;Khoury, Suheil. ; editor. ;;Day, Min-Yuh. ; editor. ;
کلید واژه ها: Social sciences. ;;Data Mining;Social Sciences. ;;Computational Social Sciences. ;;Big Data. ;;Data Mining and Knowledge Discovery;Applications of Graph Theory and Complex Networks. ;
تاریخ انتشار: 2018
محل نشر: Cham :
ناشر: Springer International Publishing :
Imprint: Springer,
فروست / شماره : Lecture Notes in Social Networks, ; 2190-5428 ;
Lecture Notes in Social Networks, ; 2190-5428 ;
چکیده: 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. ;
توضیحات : Printed edition: ; Social Network Based Big Data Analysis and Applications ; 9783319781952 ;


QA76


SpringerLink (Online service) ;

آدرس: http://localhost/handle/Hannan/1759
شابک : 9783319781969 ; 9783319781952 (Print) ;
اطلاعات بیشتر: X, 249 p. 89 illus., 77 illus. in color. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9783319781969.pdf6.95 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Social Network Based Big Data Analysis and Applications /
پدیدآورنده: Kaya, Mehmet. ; editor. ;;Kawash, Jalal. ; editor. ;;Khoury, Suheil. ; editor. ;;Day, Min-Yuh. ; editor. ;
کلید واژه ها: Social sciences. ;;Data Mining;Social Sciences. ;;Computational Social Sciences. ;;Big Data. ;;Data Mining and Knowledge Discovery;Applications of Graph Theory and Complex Networks. ;
تاریخ انتشار: 2018
محل نشر: Cham :
ناشر: Springer International Publishing :
Imprint: Springer,
فروست / شماره : Lecture Notes in Social Networks, ; 2190-5428 ;
Lecture Notes in Social Networks, ; 2190-5428 ;
چکیده: 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. ;
توضیحات : Printed edition: ; Social Network Based Big Data Analysis and Applications ; 9783319781952 ;


QA76


SpringerLink (Online service) ;

آدرس: http://localhost/handle/Hannan/1759
شابک : 9783319781969 ; 9783319781952 (Print) ;
اطلاعات بیشتر: X, 249 p. 89 illus., 77 illus. in color. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9783319781969.pdf6.95 MBAdobe PDFتصویر
مشاهده فایل