elki-project / elki

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 Mar 31, 2018
Python

ggulgun / NIDS-Intrusion-Detection

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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

Dentrax / Data-Mining-Algorithms

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Data Mining Algorithms with C# using LINQ

linq data-science data-mining algorithm id3 nearest-neighbors apriori k-means c45 data-mining-algorithms clustering-algorithm apriori-algorithm id3-algorithm k-nearest-neighbor desiciontree

Updated Feb 11, 2018
C#

gbroques / naive-bayes

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A Python implementation of Naive Bayes from scratch.

python data-mining naive-bayes python3 naive-bayes-classifier classification naive-algorithm data-mining-algorithms naive-bayes-algorithm naivebayes naive-bayes-classification naive maximum-likelihood-estimation maximum-a-posteriori-estimation log-likelihood naive-bayes-tutorial naive-bayes-implementation laplace-smoothing

Updated Mar 27, 2018
Python

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

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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.

python data-mining gpu gcc transaction cuda plot transactions gpu-acceleration apriori frequent-itemset-mining data-mining-algorithms frequent-pattern-mining apriori-algorithm frequent-itemsets pycuda gpu-programming eclat eclat-algorithm

Updated Dec 12, 2018
Python

silenceu / trackrecognition

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鼠标轨迹识别

machine-learning data-mining-algorithms

Updated Jul 1, 2017
Python

coderIlluminatus / Data-Mining-and-Warehousing

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Data Mining algorithms for IDMW632C course at IIIT Allahabad, 6th semester

data-mining python3 naive-bayes-classifier apriori fp-growth data-mining-algorithms decision-tree fp-tree apriori-algorithm iiit iiit-allahabad iiita warehousing fp-growth-algorithm warehousing-course

Updated Feb 6, 2019
Python

lidalei / DataMining

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Various data mining algorithms implemented with sklearn and tensorflow.

python tensorflow data-mining-algorithms kmeans-clustering

Updated Dec 3, 2016
Python

mstuefer / data_mining

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The Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms

ruby ruby-gem machine-learning data-mining clustering machine-learning-algorithms pagerank apriori data-mining-algorithms knearest-neighbor-classifier

Updated Jul 24, 2015
Ruby

NikhilGupta1997 / Influence-Maximization-CELF

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Implementation of Influence Maximisation on a graph dataset.

data-mining-algorithms celf influence-maximization

Updated Dec 12, 2018
C++

shuLhan / go-mining

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Data mining with Go.

go golang data-mining random-forest mining cart data-mining-algorithms knn smote ln-smote cascaded-random-forest

Updated Sep 16, 2018
Go

jacksonpradolima / gsp-py

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GSP (Generalized Sequence Pattern) algorithm in Python

python data-mining pattern-recognition data-mining-algorithms gsp

Updated May 3, 2020
Python

psyclone20 / k-means-clustering

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A Java program to cluster a dataset in CSV format using k-means clustering

java data-mining clustering k-means unsupervised-learning data-mining-algorithms clustering-algorithm clustering-methods k-means-clustering

Updated Oct 9, 2018
Java

PSNAppz / Machine-Learning-and-Data-Mining-Algorithms

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Machine Learning Algorithms Python [In Active Development]

python machine-learning data-mining algorithms random-forest scikit-learn sklearn machine-learning-algorithms projects datascience classification data-mining-algorithms uci-machine-learning rotation-forest

Updated Oct 26, 2019
Python

alexisfacques / node-fpgrowth

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FPGrowth Algorithm implementation in TypeScript / JavaScript.

data-mining fp-growth frequent-itemset-mining data-mining-algorithms frequent-itemsets fpgrowth

Updated May 14, 2018
TypeScript

VaibhavAbhimanyooHiwase / Risk_Calculation_using_Backward_Elimination_Algorithm_in_Life_Insurance

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Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.