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AALTD (Workshop) (2021 :)

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Advanced analytics and learning on temporal data = 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced analytics and learning on temporal data/ edited by Vincent Lemaire ... [et al.].
其他題名:	6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021 : revised selected papers /
其他題名:	AALTD 2021
其他作者:	Lemaire, Vincent.
團體作者:	AALTD (Workshop)
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	x, 195 p. :ill. (some col.), digital ;24 cm.
內容註:	Oral Presentation -- Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification -- State Space approximation of Gaussian Processes for time-series forecasting -- Fast Channel Selection for Scalable Multivariate Time Series Classification -- Temporal phenotyping for characterisation of hospital care pathways of COVID patients -- A New Multivariate Time Series Co-clustering Non-Parametric Model Applied to Driving-Assistance Systems Validation -- TRAMESINO: Trainable Memory System for Intelligent Optimization of Road Traffic Control -- Detection of critical events in renewable energy production time series -- Poster Presentation -- Multimodal Meta-Learning for Time Series Regression -- Cluster-based Forecasting for Intermittent and Non-intermittent Time Series -- State discovery and prediction from multivariate sensor data -- RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds -- From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-91445-5
ISBN:	9783030914455

Advanced analytics and learning on temporal data = 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021 : revised selected papers /
Advanced analytics and learning on temporal data6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021 : revised selected papers /[electronic resource] :AALTD 2021edited by Vincent Lemaire ... [et al.]. - Cham :Springer International Publishing :2021. - x, 195 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,131140302-9743 ;. - Lecture notes in computer science ;13114..

Oral Presentation -- Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification -- State Space approximation of Gaussian Processes for time-series forecasting -- Fast Channel Selection for Scalable Multivariate Time Series Classification -- Temporal phenotyping for characterisation of hospital care pathways of COVID patients -- A New Multivariate Time Series Co-clustering Non-Parametric Model Applied to Driving-Assistance Systems Validation -- TRAMESINO: Trainable Memory System for Intelligent Optimization of Road Traffic Control -- Detection of critical events in renewable energy production time series -- Poster Presentation -- Multimodal Meta-Learning for Time Series Regression -- Cluster-based Forecasting for Intermittent and Non-intermittent Time Series -- State discovery and prediction from multivariate sensor data -- RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds -- From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information.

This book constitutes the refereed proceedings of the 6th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2021, held during September 13-17, 2021. The workshop was planned to take place in Bilbao, Spain, but was held virtually due to the COVID-19 pandemic. The 12 full papers presented in this book were carefully reviewed and selected from 21 submissions. They focus on the following topics: Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Multivariate Time Series Co-clustering; Efficient Event Detection; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Cluster-based Forecasting; Explanation Methods for Time Series Classification; Multimodal Meta-Learning for Time Series Regression; and Multivariate Time Series Anomaly Detection.

ISBN: 9783030914455

Standard No.: 10.1007/978-3-030-91445-5doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .A35 2021

Dewey Class. No.: 006.31

Advanced analytics and learning on temporal data = 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021 : revised selected papers /
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