Del 11986 i serien Lecture Notes in Computer Science

Advanced Analytics and Learning on Temporal Data

4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers

Häftad, Engelska, 2020

AvVincent Lemaire,Simon Malinowski,Anthony Bagnall,Alexis Bondu,Thomas Guyet,Romain Tavenard

729 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Würzburg, Germany, in September 2019. The 7 full papers presented together with 9 poster papers were carefully reviewed and selected from 31 submissions.

Produktinformation

Utgivningsdatum2020-01-23
Mått155 x 235 x 14 mm
Vikt371 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor229
FörlagSpringer Nature Switzerland AG
ISBN9783030390976

Tillhör följande kategorier

Informationsteknik: allmänt inom Data och IT
Artificiell intelligens inom Data och IT
Nätverk och kommunikation inom Data och IT

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.