GitHub topics: time-series-data-mining
lmmentel/awesome-time-series
Resources for working with time series and sequence data
Size: 171 KB - Last synced at: about 2 hours ago - Pushed at: 3 months ago - Stars: 583 - Forks: 88
TDAmeritrade/stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
Language: Python - Size: 127 MB - Last synced at: 7 days ago - Pushed at: 14 days ago - Stars: 3,892 - Forks: 333
PetoLau/TSrepr
TSrepr: R package for time series representations
Language: R - Size: 837 KB - Last synced at: 7 days ago - Pushed at: almost 5 years ago - Stars: 96 - Forks: 23
ermshaua/time-series-segmentation-benchmark
This repository contains the time series segmentation benchmark (TSSB).
Language: Jupyter Notebook - Size: 18.9 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 66 - Forks: 16
youngdou/awesome-time-series-analysis
This list collects learning resource, tools and dataset for time series analysis/time series data mining.
Size: 12.7 KB - Last synced at: 12 days ago - Pushed at: over 3 years ago - Stars: 179 - Forks: 27
ermshaua/claspy
ClaSPy: A Python package for time series segmentation.
Language: Jupyter Notebook - Size: 7.88 MB - Last synced at: 29 days ago - Pushed at: 5 months ago - Stars: 98 - Forks: 4
ashishpatel26/Introduction-to-Time-Series-forecasting
Time Series Analysis of Internation Air Passengers
Language: Jupyter Notebook - Size: 8.02 MB - Last synced at: 19 days ago - Pushed at: almost 6 years ago - Stars: 40 - Forks: 18
matrix-profile-foundation/mass-ts
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.
Language: Python - Size: 78.1 KB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 102 - Forks: 20
IBM/TSML.jl
A package for time series data processing, classification, clustering, and prediction.
Language: Julia - Size: 15.9 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 108 - Forks: 17
ermshaua/mobile-sensing-human-activity-data-set
This is the supporting website for the paper "MOSAD – a new data set for mobile sensing of human activities".
Language: Jupyter Notebook - Size: 105 MB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 2
PetoLau/petolau.github.io Fork of barryclark/jekyll-now
Blog about time series data mining in R.
Language: HTML - Size: 163 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 75 - Forks: 79
parthsompura/Time-Series-Analysis-and-Forecasting
Research Project on "Time Series Analysis and Forecasting"
Language: Jupyter Notebook - Size: 2.03 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1
PetoLau/ClusterForecast
Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data
Language: R - Size: 20.5 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 5
suzusuzu/tfilter
Hankel Singular Value Decomposition, Hankel Non-negative Matrix Factorization
Language: Python - Size: 348 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1
AndreasBraun5/Data-Mining-in-Industrial-Processes-Evaluation-of-different-machine-learning-models-for-Prediction
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 in precision 99.83 %.
Size: 4.36 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1
