moa

Stream miner

A framework for stream mining large datasets in real-time using machine learning algorithms.

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.

GitHub

1 stars
2 watching
1 forks
Language: Java
last commit: about 5 years ago

Related projects:

Repository Description Stars
huawei-noah/streamdm A library that enables efficient big data stream mining using Spark Streaming 492
jpcik/morph-streams A tool for processing and analyzing continuous data streams using query languages 16
olacabs/fabric A real-time stream processing framework designed to handle high-volume event ingestion and complex data processing tasks with guaranteed availability and scalability. 55
knowledgeonwebscale/streamingmassif A Java-based platform for efficient processing of data streams by performing cascading reasoning and complex event processing. 10
rozap/spacesaving An algorithm to estimate distinct elements in an unbounded stream using bounded space 2
scikit-multiflow/scikit-multiflow A machine learning package for streaming data in Python. 766
nanosai/stream-ops-java A Java-based data streaming engine and stream processing API designed to be embeddable in various applications. 48
sorenmacbeth/streaming-papers A collection of curated papers on streaming algorithms and their implementations in various programming languages. 187
maki-nage/makinage Stream Processing Library and Framework 38
mindsdb/lightwood Automated machine learning framework using JSON syntax to define and generate custom pipelines with pre-processing, feature engineering, and model building steps. 453
pouyamghari/pof-mkl An implementation of an online federated learning algorithm with multiple kernels for personalized machine learning 0
mosaicml/streaming A library for efficient data streaming and training of neural networks on large datasets 1,171
apache/incubator-samoa A distributed streaming machine learning framework that enables development of new algorithms and execution in multiple processing engines 248
apache/streampipes A toolbox for industrial data analytics and stream processing 614
mr-easy/streaming_indicators Real-time streaming technical analysis indicators library for Python. 73