Paper: A novel visibility graph transformation of time series into weighted networks
1. Convert time series into weighted networks.
2. link prediction is used to evaluate the performance of the weighted network.
3. different ways of generating VG: horizontal visibility graph[29]. multi-scale limited penetrable visibility graph[30].
Methodology
The first step is to generate weights of vertices in the time series??
two operators: Induced ordered weighted averaging (IOWA) operator and visibility graph aggregation (VGA) operator
Then two different strategies, averaging strategy and gravity strategy, are applied to distribute the weights of nodes to the weights of edges, so that a weighted network is established.
Paper: A novel visibility graph transformation of time series into weighted networks的更多相关文章
- Visibility Graph Analysis of Geophysical Time Series: Potentials and Possible Pitfalls
Tasks: invest papers 3 篇. 研究主动权在我手里. I have to. 1. the benefit of complex network: complex networ ...
- Paper: A Novel Time Series Forecasting Method Based on Fuzzy Visibility Graph
Problem define a fuzzy visibility graph (undirected weighted graph), then give a new similarity meas ...
- Paper: A novel method for forecasting time series based on fuzzy logic and visibility graph
Problem Forecasting time series. Other methods' drawback: even though existing methods (exponential ...
- Weighted Visibility Graph With Complex Network Features in the Detection of Epilepsy
Their data five data set, 100 single channel of EEG signals, each channel EEG has 4097 data point. t ...
- [Paper Reading]--Exploiting Relevance Feedback in Knowledge Graph
<Exploiting Relevance Feedback in Knowledge Graph> Publication: KDD 2015 Authors: Yu Su, Sheng ...
- Summary on Visual Tracking: Paper List, Benchmarks and Top Groups
Summary on Visual Tracking: Paper List, Benchmarks and Top Groups 2018-07-26 10:32:15 This blog is c ...
- 40 JavaScript Chart and Graph Libraries for Developers--reference
reference:http://www.egrappler.com/javascript-chart-and-graph-libraries-for-developers/ BY TEAMEGRAP ...
- 深度学习在graph上的使用
原文地址:https://zhuanlan.zhihu.com/p/27216346 本文要介绍的这一篇paper是ICML2016上一篇关于 CNN 在图(graph)上的应用.ICML 是机器学习 ...
- paper: VG -- re-read
重点: 1.The constructed graph inherits several properties of the series in its structure. periodic se ...
随机推荐
- 为spring cloud config实现刷新动态掉的坑
正常搭建配置中心,网上教程多,这里不讨论,只记坑也是为了后来者少花时间在这里,由于是当时研究了好久才写的文章,所以只能提供问题的原因,当然会给出印证的思路,闲话不多说进入正题! 版本spring bo ...
- 浏览器对象模型“BOM”,对浏览器窗口进行访问和操作
location对象 location.href url地址 location.hash 锚点 location.hostname 主机名(需要放到服务器上) location.ho ...
- Android实战项目——家庭记账本设计思路
经过三周左右的Android学习,实感只有上手开发才能有所提高.在此打算做一个家庭记账APP,同时巩固一下学到的东西并且弥补漏洞. 概述 记账是自古以来人类必不可少的一件事,从古代的算盘,到手写账本, ...
- Docker Compose 启动mysql,redis,rabbitmq
这里使用的centos7,首先切换到root. sudo -s 首先去设置下载镜像,否则下载这三个东西要很久,而且可能失败. vim /etc/docker/daemon.json 内容如下: { & ...
- 如何修复MacBook Pro过热:保持MacBook散热的13个技巧
尽管MacBook Pro是一台能处理繁重工作量的高能效机器,但它却无法像市场上其他笔记本电脑一样避免过热.至于什么可以防止发热,那不是一两个技巧就能解决的问题.相反,这是一组技巧可以解决的挑战. 因 ...
- 【笔记】机器学习 - 李宏毅 - 11 - Keras Demo2 & Fizz Buzz
1. Keras Demo2 前节的Keras Demo代码: import numpy as np from keras.models import Sequential from keras.la ...
- 一种使用SOC精确控制脉冲的方法
在emfi测试中需要精确的控制脉冲时间.控制器产生的脉冲信号会经过控压的MOS管,这些组件会造成很严重的延时,但是尽管如此,控制系统的高精度也是必须的,因为控制系统的误差会逐级下延,引起更大的误差. ...
- nunjucks模板设计一个页面
使用nunjucks代替原来的ejs,因为这个更强大,是node中主流的模板引擎 nunjucks官网 配置使用 nunjucks 模板引擎 nunjucks 模板引擎没有对模板文件名的后缀名做特定限 ...
- JMeter-查找元素
参考文档:https://jmeter.apache.org/usermanual/hints_and_tips.html 有时很难使用变量或包含某个URL或参数的方法在“测试计划”树和元素中找到. ...
- 使用faker 生成测试数据
测试数据生成 faker基础使用 from faker import Faker f=Faker(locale='zh_CN') print(f.name()) address 地址 person 人 ...