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.

data-mining time-series algorithms datascience time-series-analysis similarity-search euclidean-distances distance-matrix time-series-data-mining

UpdatedDec 26, 2022
Python

PetoLau /TSrepr

Star97

TSrepr: R package for time series representations

data-science data-mining r time-series data-analysis representation r-package data-mining-algorithms time-series-analysis time-series-clustering time-series-classification time-series-data-mining time-series-representations

UpdatedJul 12, 2020
R

ermshaua /time-series-segmentation-benchmark

Star78

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

UpdatedMar 31, 2025
Jupyter Notebook

PetoLau /petolau.github.io

Star74

Blog about time series data mining in R.

blog data-science machine-learning data-mining r time-series data-visualization artificial-intelligence forecasting data-analysis time-series-analysis time-series-clustering time-series-prediction time-series-forecasting time-series-data-mining

UpdatedJan 11, 2024
HTML

ashishpatel26 /Introduction-to-Time-Series-forecasting

Star40

Time Series Analysis of Internation Air Passengers

time-series time-series-analysis time-series-classification time-series-prediction time-series-forecasting time-series-data-mining

UpdatedJul 10, 2019
Jupyter Notebook

ermshaua /mobile-sensing-human-activity-data-set

Star11

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

python science data-science machine-learning data-mining research time-series unsupervised-learning human-activity-recognition time-series-analysis change-point time-series-data-mining change-point-detection time-series-segmentation

UpdatedMar 24, 2023
Jupyter Notebook

PetoLau /ClusterForecast

Star10

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

data-science machine-learning data-mining r clustering forecasting cluster-analysis time-series-analysis time-series-clustering time-series-forecasting time-series-data-mining analyza-zhlukov

UpdatedNov 26, 2018
R

suzusuzu /tfilter

Star4

Hankel Singular Value Decomposition, Hankel Non-negative Matrix Factorization

time-series svd nmf time-series-analysis time-series-data-mining hankel-matrix

UpdatedNov 7, 2019
Python

MSD-IRIMAS /Data-Augmentation-4-TSC

Star2

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

machine-learning deep-learning time-series data-augmentation-strategies data-augmentation time-series-analysis time-series-classification time-series-data-mining time-series-machine-learning

UpdatedAug 14, 2025
Python

AndreasBraun5 /Data-Mining-in-Industrial-Processes-Evaluation-of-different-machine-learning-models-for-Prediction

Star2

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…