Social Network Data Analytics pdf epub mobi txt 電子書下載 2024

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Aggarwal, Charu C. 編

Springer

2011-3-17

516

USD 159.00

Hardcover

9781441984616

圖書標籤: 數據挖掘社會網絡分析 SNS 社會網絡 MachineLearning 網絡挖掘 social Springer

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发表于2024-11-05

Social Network Data Analytics epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2024

Social Network Data Analytics pdf epub mobi txt 電子書下載 2024

圖書描述

Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.

Social Network Data Analytics 下載 mobi epub pdf txt 電子書

著者簡介

圖書目錄

Social Network Data Analytics pdf epub mobi txt 電子書下載

想要找書就要到小哈圖書下載中心

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立刻按 ctrl+D收藏本頁

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用戶評價

評分☆☆☆☆☆

多由物理學領域與計算機科學領域的人所寫。算是論文閤集，但部分內容較新。

評分☆☆☆☆☆

不少大牛貢獻的，比較好的綜述。

評分☆☆☆☆☆

進階讀物大牛綜述對於link prediction的總結是代錶性的尤其是方法的體係是從社交網絡分析角度齣發區彆於物理復雜網絡領域內的綜述必讀

評分☆☆☆☆☆

進階讀物大牛綜述對於link prediction的總結是代錶性的尤其是方法的體係是從社交網絡分析角度齣發區彆於物理復雜網絡領域內的綜述必讀

評分☆☆☆☆☆

原來是本論文集。。。

讀後感

評分☆☆☆☆☆

我也只是读了这本书的某几个章节，大致浏览了下全书，发现这本书大致涵盖了social network的基本问题（不过好像relation prediction没覆盖），至少是热点问题吧，而且都是相关方向的expert写的，是相当不错的参考书。但是看起来好像没那么友好，可能先看一些paper在看书会更好。

評分☆☆☆☆☆