教師資料查詢 | 類別: 專書 | 教師: 戴敏育 Min-Yuh Day (瀏覽個人網頁)

標題:Social Network Based Big Data Analysis and Applications
學年106
學期2
出版(發表)日期2018/06/08
作品名稱Social Network Based Big Data Analysis and Applications
作品名稱(其他語言)
著者Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day
單位
出版者Springer International Publishing
著錄名稱、卷期、頁數Lecture Notes in Social Networks
摘要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 (ASONAM’2016), 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.
關鍵字social network analysis and mining, influence analysis, pattern recognition, big data streams, community detection, sentiment analysis, recommendation and prediction, ASONAM proceedings
語言英文(美國)
ISBN9783319781952
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