Statistical and Machine learning approaches for network analysis

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

An emerging trend in many scientific disciplines is a strong tendency toward being
transformed into some form of information science. One important pathway in this
transition has been via the application of network analysis. The basic methodology in
this area is the representation of the structure of an object of investigation by a graph
representing a relational structure. It is because of this general nature that graphs have
been used in many diverse branches of science including bioinformatics, molecular
and systems biology, theoretical physics, computer science, chemistry, engineering,
drug discovery, and linguistics, to name just a few. An important feature of the book
“Statistical and Machine Learning Approaches for Network Analysis” is to combine
theoretical disciplines such as graph theory, machine learning, and statistical data
analysis and, hence, to arrive at a new field to explore complex networks by using
machine learning techniques in an interdisciplinary manner.

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏1 回帖

关键词：Statistical APPROACHES statistica statistic Learning learning network

里面也没讲啥，看文献。20，太贵了。