time series classification
Time series are widely used in finance, industry, health, operation and maintenance, and transportation.
In fact, the anomaly detection task can also be regarded as a time series classification task. There are two types of anomalies or not, or there are many kinds of anomalies, which is a multi-classification problem.
There are many types of data for time series classification: time trajectory data, spatiotemporal data, and time series graph data, but this section focuses on pure time series: time series containing single and multi-dimensional.
paper
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels Data Min. Know. Disc. 34, 1454–1495, 2020
InceptionTime: Finding AlexNet for Time Series Classification Data Min. Know. Disc. 2020
HIVE-COTE 2.0: a new meta ensemble for time series classification.
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification.
These methods are also relatively classic and easy to use.
data set
The main thing is the UCR time series classification dataset (including multi-dimensional and single-dimensional). This dataset should be familiar to many friends who are interested in time series.
There are many other datasets collected:
Each column is
dataset name
training set size
test set size
time series length
The number of categories (both binary and multi-category exist)
Click on Dataset
There are also preview visualizations of various categories of time series
reference
This website is mainly maintained by teachers and students of UEA
Dataset: https://www.timeseriesclassification.com/dataset.php
papers： https://www.timeseriesclassification.com/index.php
Recommended reading:
My 2022 Internet School Recruitment Sharing
Talking about the difference between algorithm post and development post
Internet school recruitment research and development salary summary
The 2022 Internet job hunting status, gold 9 silver 10 will soon become copper 9 iron 10! !
Public number: AI snail car
Stay humble, stay disciplined, keep improving
Send [Snail] to get a copy of "Hands-on AI Project" (written by AI Snail Car)
Send [1222] to get a good leetcode brushing notes
Send [AI Four Classics] Get four classic AI e-books