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澳大利亚莫纳什大学Christoph Bergmeir博士学术讲座

发布时间: 2018/06/27 14:38:48     点击次数:次   打印本页

 

【北航经管学术论坛】

 

 

澳大利亚莫纳什大学

 

Christoph Bergmeir博士学术讲座

                       

 

 

题目Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series

 

主讲人Dr. Christoph BergmeirMonash University

 

时间2018629日(星期五),15:00 pm– 16:00 pm

 

地点:新主楼A1028

 

邀请人:康雁飞 副教授

 

 

摘要With the advent of Big Data, nowadays in many applications databases containing large quantities of similar time series are available. Forecasting time series in these domains with traditional univariate forecasting procedures leaves great potentials for producing accurate forecasts untapped. Recurrent neural networks, and in particular Long Short-Term Memory (LSTM) networks have proven recently that they are able to outperform state-of-the-art univariate time series forecasting methods in this context, when trained across all available time series. However, if the time series database is heterogeneous accuracy may degenerate, so that on the way towards fully automatic forecasting methods in this space, a notion of similarity between the time series needs to be built into the methods. To this end, we present a prediction model using LSTMs on subgroups of similar time series, which are identified by time series clustering techniques. The proposed methodology is able to consistently outperform the baseline LSTM model, and it achieves competitive results on benchmarking datasets, in particular outperforming all other methods on the CIF2016 dataset.

 

 

 

简介Dr. Christoph Bergmeir is a Lecturer in Data Science in the Monash Faculty of Information Technology. He works as a Data Scientist in a variety of projects with external partners in diverse sectors, e.g. in healthcare or infrastructure maintenance. Christoph holds a PhD in Computer Science from the University of Granada, Spain, and an M.Sc. degree in Computer Science from the University of Ulm, Germany. He has published on time series prediction using Machine Learning methods, recurrent neural networks and long short-term memory neural networks (LSTM), time series predictor evaluation, as well as on medical applications and software packages in the R programming language, in journals such as IEEE Transactions on Neural Networks and Learning Systems, Journal of Statistical Software, Computational Statistics and Data Analysis, and Information Sciences.

 

 

 

经管学院科研办

 

2018-06-27