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 en_US
ISBN 9783319781952
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115099 )