English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 63276/95973 (66%)
造訪人次 : 4906732      線上人數 : 377
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/115099

    題名: Social Network Based Big Data Analysis and Applications
    作者: Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day
    關鍵詞: 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
    上傳時間: 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
    顯示於類別:[資訊管理學系暨研究所] 專書





    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋