marouabahri

CS-ARF

Compressed Sensing Adaptive Random Forest (CS-ARF)

CS-kNN

Compressed Sensing k-Nearest Neighbors (CS-kNN)

dataModel.DataQuality

Data models related to the data quality management

iFogSim

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

SketchNB

Count-Min Sketch-Based Naive Bayes (SketchNB)

SQL

Introduction to databases

SQL-Introduction

UMAP-kNN

The Batch Incrementak k-Nearest Neighbors using the Uniform Manifold Approximation and Projection (UMAP-kNN)

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

marouabahri/SQL

Introduction to databases

marouabahri/CS-ARF

Compressed Sensing Adaptive Random Forest (CS-ARF)

marouabahri/CS-kNN

Compressed Sensing k-Nearest Neighbors (CS-kNN)

marouabahri/UMAP-kNN

The Batch Incrementak k-Nearest Neighbors using the Uniform Manifold Approximation and Projection (UMAP-kNN)

marouabahri/dataModel.DataQuality

Data models related to the data quality management

marouabahri/iFogSim

marouabahri/moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

marouabahri/SketchNB

Count-Min Sketch-Based Naive Bayes (SketchNB)

marouabahri/SQL-Introduction