淡江大學機構典藏:Item 987654321/115099
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    题名: Social Network Based Big Data Analysis and Applications
    作者: Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day
    关键词: social network analysis and mining, influence analysis, pattern recognition, big data streams, community detection, sentiment analysis, recommendation and prediction, ASONAM proceedings
    日期: 2018-06-08
    上传时间: 2018-10-04 12:12:06 (UTC+8)
    出版者: Springer International Publishing
    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.
    關聯: Lecture Notes in Social Networks
    显示于类别:[資訊管理學系暨研究所] 專書

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