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

Time Series Analysis of Internation Air Passengers

Hankel Singular Value Decomposition, Hankel Non-negative Matrix Factorization

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…

TSrepr: R package for time series representations

Research Project on "Time Series Analysis and Forecasting"

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

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.

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

Blog about time series data mining in R.

Resources for working with time series and sequence data

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

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

ClaSPy: A Python package for time series segmentation.

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