Experience of distance education for project-based learning in data science [0.03%]
数据科学项目式学习远程教育经验教训
Kentaro Sakamaki,Masataka Taguri,Hiromu Nishiuchi et al.
Kentaro Sakamaki et al.
Data science plays an important role in many fields. Project-based learning is an effective teaching approach because students can learn data science practices based on real-world problems and real-world data. Because of a pandemic of COVID...
Krzysztof Bartoszek,Wojciech Bartoszek,Michał Krzemiński
Krzysztof Bartoszek
We consider a random dynamical system, where the deterministic dynamics are driven by a finite-state space Markov chain. We provide a comprehensive introduction to the required mathematical apparatus and then turn to a special focus on the ...
Hiroki Masuda
Hiroki Masuda
A k-means method for trends of time series: An application to time series of COVID-19 cases in Japan [0.03%]
一种时间序列趋势的k均值方法及其在日本COVID-19病例时间序列中的应用
Norio Watanabe
Norio Watanabe
A k-means method style clustering algorithm is proposed for trends of multivariate time series. The usual k-means method is based on distances or dissimilarity measures among multivariate data and centroids of clusters. Some similarity or d...
Anomaly detection of mobile positioning data with applications to COVID-19 situational awareness [0.03%]
基于手机定位数据的异常检测在新冠疫情态势感知中的应用研究
Stefano Maria Iacus,Francesco Sermi,Spyridon Spyratos et al.
Stefano Maria Iacus et al.
Due to an unprecedented agreement with the European Mobile Network Operators, the Joint Research Centre of the European Commission was in charge of collecting and analyze mobile positioning data to provide scientific evidence to policy make...
Study of the trend pattern of COVID-19 using spline-based time series model: a Bayesian paradigm [0.03%]
基于样条的时序模型在贝叶斯框架下研究COVID-19的发展趋势
Jitendra Kumar,Varun Agiwal,Chun Yip Yau
Jitendra Kumar
A vast majority of the countries are under economic and health crises due to the current epidemic of coronavirus disease 2019 (COVID-19). The present study analyzes the COVID-19 using time series, an essential gizmo for knowing the enlargem...
Shiga University's endeavor to promote human resources development for data science in Japan [0.03%]
立命館大學在日本推進數據科學人才培育的努力
Takuma Tanaka,Tetsuto Himeno,Kaoru Fueda
Takuma Tanaka
In 2017, Shiga University established the Faculty of Data Science, which was the first faculty in Japan specializing in data science and statistics. This paper reports the Faculty's historical context, curricula, and collaboration with indu...
Hiroshi Saigo
Hiroshi Saigo
Analysis of COVID-19 evolution based on testing closeness of sequential data [0.03%]
基于连续数据检验密切接触的新冠肺炎演化分析
Tomoko Matsui,Nourddine Azzaoui,Daisuke Murakami
Tomoko Matsui
A practical algorithm has been developed for closeness analysis of sequential data that combines closeness testing with algorithms based on the Markov chain tester. It was applied to reported sequential data for COVID-19 to analyze the evol...