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Just published a review and benchmark on window size selection strategies for unsupervised time series analytics in the AALTD'22 workshop proceedings https://t.co/adLXnpg7am #datamining #machinelearning
Advanced Analytics and Learning on Temporal Data
Overview of attention for book
Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 Adjustable Context-Aware Transformer
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Altmetric BadgeChapter 2 Clustering of Time Series Based on Forecasting Performance of Global Models
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Altmetric BadgeChapter 3 Experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction
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Altmetric BadgeChapter 4 Fast Time Series Classification with Random Symbolic Subsequences
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Altmetric BadgeChapter 5 RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection
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Altmetric BadgeChapter 6 Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark
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Altmetric BadgeChapter 7 Application of Attention Mechanism Combined with Long Short-Term Memory for Forecasting Dissolved Oxygen in Ganga River
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Altmetric BadgeChapter 8 Data Augmentation for Time Series Classification with Deep Learning Models
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Altmetric BadgeChapter 9 Dimension Selection Strategies for Multivariate Time Series Classification with HIVE-COTEv2.0
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Altmetric BadgeChapter 10 EDGAR: Embedded Detection of Gunshots by AI in Real-time
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Altmetric BadgeChapter 11 Identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves
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Altmetric BadgeChapter 12 ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications
Attention for Chapter 6:
Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark