data-mining-algorithms

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

data-science data-mining exploratory-data-analysis tabular-data feature-selection data-engineering feature-extraction data-analytics knowledge-discovery data-wrangling data-preprocessing feature-engineering spreadsheets data-exploration data-mining-algorithms data-cleaning data-profiling anomaly-detection data-cleansing correlations

Updated Sep 24, 2025
C++

IBM / AutoMLPipeline.jl

Star 366

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

data-science machine-learning data-mining pipeline julia classification ensemble-learning data-mining-algorithms symbolic-expressions automl stacking chaining machine-learning-models pipeline-optimization pipeline-structure scikitlearn-wrapper symbolic-pipeline

Updated Sep 25, 2025
Julia

PetoLau / TSrepr

Star 97

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

Updated Jul 12, 2020
R

ggulgun / NIDS-Intrusion-Detection

Star 90

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

data-science machine-learning data-mining svm pca ids intrusion-detection dimensionality-reduction data-mining-algorithms knn intrusion-detection-system kdd99 kdd-dataset

Updated Oct 18, 2019
Python

shubhamjha97 / hierarchical-clustering

Star 85

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

data-mining clustering data-mining-algorithms hierarchical-clustering agglomerative-clustering dendrogram divisive-clustering

Updated Nov 22, 2020
Python

habedi / graphina

Sponsor

Star 68

A graph data science library for Rust 🦀

data-science graph-algorithms rust-lang graph-theory crates-io network-analysis social-network-analysis graph-analytics data-mining-algorithms

Updated Sep 23, 2025
Rust

closest-git / LiteMORT

Star 56

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

machine-learning high-performance-computing gbdt data-mining-algorithms binary-classification gradient-boosting regression-algorithms

Updated Mar 7, 2020
C++

andi611 / Apriori-and-Eclat-Frequent-Itemset-Mining

Star 49

Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.