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http://localhost/handle/Hannan/1767
عنوان: | Machine Learning Techniques for Online Social Networks / |
پدیدآورنده: | ezyer, Tansel. ; editor. ;;Alhajj, Reda. ; editor. ; |
کلید واژه ها: | Social sciences. ;;Social media. ;;Data Mining;Artificial Intelligence;Social Sciences. ;;Computational Social Sciences. ;;Data Mining and Knowledge Discovery;Social Media. ;;Artificial Intelligence and Robotics |
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: | The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields. . ; |
توضیحات : | SpringerLink (Online service) ; HdE ; WaSeSS ; QA76 Hdig ; SFX ; Zdig ; WaSeSS ; Printed edition: ; Machine Learning Techniques for Online Social Networks ; 9783319899312 ; |
آدرس: | http://localhost/handle/Hannan/1767 |
شابک : | 9783319899329 ; 9783319899312 (Print) ; |
اطلاعات بیشتر: | VIII, 236 p. 102 illus., 85 illus. in color. ; online resource. ; |
مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9783319899312.pdf | 10.12 MB | Adobe PDF | مشاهده فایل |
عنوان: | Machine Learning Techniques for Online Social Networks / |
پدیدآورنده: | ezyer, Tansel. ; editor. ;;Alhajj, Reda. ; editor. ; |
کلید واژه ها: | Social sciences. ;;Social media. ;;Data Mining;Artificial Intelligence;Social Sciences. ;;Computational Social Sciences. ;;Data Mining and Knowledge Discovery;Social Media. ;;Artificial Intelligence and Robotics |
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: | The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields. . ; |
توضیحات : | SpringerLink (Online service) ; HdE ; WaSeSS ; QA76 Hdig ; SFX ; Zdig ; WaSeSS ; Printed edition: ; Machine Learning Techniques for Online Social Networks ; 9783319899312 ; |
آدرس: | http://localhost/handle/Hannan/1767 |
شابک : | 9783319899329 ; 9783319899312 (Print) ; |
اطلاعات بیشتر: | VIII, 236 p. 102 illus., 85 illus. in color. ; online resource. ; |
مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9783319899312.pdf | 10.12 MB | Adobe PDF | مشاهده فایل |
عنوان: | Machine Learning Techniques for Online Social Networks / |
پدیدآورنده: | ezyer, Tansel. ; editor. ;;Alhajj, Reda. ; editor. ; |
کلید واژه ها: | Social sciences. ;;Social media. ;;Data Mining;Artificial Intelligence;Social Sciences. ;;Computational Social Sciences. ;;Data Mining and Knowledge Discovery;Social Media. ;;Artificial Intelligence and Robotics |
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: | The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields. . ; |
توضیحات : | SpringerLink (Online service) ; HdE ; WaSeSS ; QA76 Hdig ; SFX ; Zdig ; WaSeSS ; Printed edition: ; Machine Learning Techniques for Online Social Networks ; 9783319899312 ; |
آدرس: | http://localhost/handle/Hannan/1767 |
شابک : | 9783319899329 ; 9783319899312 (Print) ; |
اطلاعات بیشتر: | VIII, 236 p. 102 illus., 85 illus. in color. ; online resource. ; |
مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9783319899312.pdf | 10.12 MB | Adobe PDF | مشاهده فایل |