Advanced Analytics and Learning on Temporal Data: Lecture Notes in Computer Science, cartea 11986
Editat de Vincent Lemaire, Simon Malinowski, Anthony Bagnall, Alexis Bondu, Thomas Guyet, Romain Tavenarden Limba Engleză Paperback – 23 ian 2020
The 7 full papers presented together with 9 poster papers were carefully reviewed and selected from 31 submissions. The papers cover topics such as temporal data clustering; classification of univariate and multivariate time series; early classification of temporal data; deep learning and learning representations for temporal data; modeling temporal dependencies; advanced forecasting and prediction models; space-temporal statistical analysis; functional data analysis methods; temporal data streams; interpretable time-series analysis methods; dimensionality reduction, sparsity, algorithmic complexity and big data challenge; and bio-informatics, medical, energy consumption, on temporal data.
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Specificații
ISBN-13: 9783030390976
ISBN-10: 3030390977
Pagini: 240
Ilustrații: X, 229 p. 109 illus., 90 illus. in color.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.37 kg
Ediția:1st ed. 2020
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3030390977
Pagini: 240
Ilustrații: X, 229 p. 109 illus., 90 illus. in color.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.37 kg
Ediția:1st ed. 2020
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Robust Functional Regression for Outlier Detection.- Transform Learning Based Function Approximation for Regression and Forecasting.- Proactive Fiber Break Detection based on Quaternion Time Series and Automatic Variable Selection from Relational Data.- A fully automated periodicity detection in time series.- Conditional Forecasting of Water Level Time Series with RNNs.- Challenges and Limitations in Clustering Blood Donor Hemoglobin Trajectories.- Localized Random Shapelets.- Feature-Based Gait Pattern Classification for a Robotic Walking Frame.- How to detect novelty in textual data streams? A comparative study of existing methods.- Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive model.- Modelling Patient Sequences for Rare Disease Detection with Semi-supervised Generative Adversarial Nets.- Extended Kalman Filter for Large Scale Vessels Trajectory Tracking in Distributed Stream Processing Systems.- Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets using Deep Learning.- Learning Stochastic Dynamical Systems via Bridge Sampling.- Quantifying Quality of Actions Using Wearable Sensor.- An Initial Study on Adapting DTW at Individual Query for Electrocardiogram Analysis.