STUMPY is a powerful and scalable Python library for modern time series analysis

Resources for working with time series and sequence data

This list collects learning resource, tools and dataset for time series analysis/time series data mining.

ClaSPy: A Python package for time series segmentation.

A package for time series data processing, classification, clustering, and prediction.

MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity.

TSrepr: R package for time series representations

This repository contains the time series segmentation benchmark (TSSB).

Blog about time series data mining in R.

Time Series Analysis of Internation Air Passengers

This is the supporting website for the paper "MOSAD – a new data set for mobile sensing of human activities".

Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data

Hankel Singular Value Decomposition, Hankel Non-negative Matrix Factorization

Re-framing Time Series Augmentation Through the Lens of Generative Models

Data Mining in Industrial Processes: Evaluation of different machine learning models for product quality prediction. Evaluated model types are Random Forest, Naive Gaussian Bayes, Logistic Regression, K Nearest Neighbour and Support Vector Machine. Comparision of non time based state based approach with time series based approach. Final result i…

Research Project on "Time Series Analysis and Forecasting"