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.
Dynatrace hash library for Java
This repository contains all the solutions of assignments, starter files and other materials related to this specialization.
CoEuS: Community Detection via Seed-set Expansion on Graph Streams
Distributed and Online Maintenance of Bayesian Networks in Apache Flink
DiCeS: Distributed Community Detection Over Streams
A lossy counting algorithm implemented to determine the top trending hashtags using the Twitter API to get a continuous stream of tweets.
A Java implementation of the experiments for the paper "Dimensionality-adaptive k-center in sliding windows"
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