Pinned Repositories
acceleratedWEKA
Making Weka go fast!
adatreenat
This software contains three closed tree mining algorithms: an incremental one IncTreeNat, a sliding-window based one, WinTreeNat, and finally one that mines closed trees adaptively from data streams, AdaTreeNat. Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information.
adwin
ADWIN is an adaptive sliding window algorithm for detecting change and keeping updated statistics from a data stream, and use it as a black-box in place or counters in learning and mining algorithms initially not designed for drifting data.
javacliparser
JAVA Command Line Interface Parser able to use subcommands (more than one level depth).
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.
moa-notebooks
MOA Notebooks
river
🌊 Online machine learning in Python
SAC2022
Website SAC 2022 Data Streams Track
SAC2023
SAC 2023 Data Streams Track
samoa
SAMOA (Scalable Advanced Massive Online Analysis) is a distributed streaming machine learning (ML) framework that contains a programing abstraction for distributed streaming ML algorithms.
abifet's Repositories
abifet/adwin
ADWIN is an adaptive sliding window algorithm for detecting change and keeping updated statistics from a data stream, and use it as a black-box in place or counters in learning and mining algorithms initially not designed for drifting data.
abifet/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.
abifet/moa-notebooks
MOA Notebooks
abifet/javacliparser
JAVA Command Line Interface Parser able to use subcommands (more than one level depth).
abifet/adatreenat
This software contains three closed tree mining algorithms: an incremental one IncTreeNat, a sliding-window based one, WinTreeNat, and finally one that mines closed trees adaptively from data streams, AdaTreeNat. Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information.
abifet/samoa
SAMOA (Scalable Advanced Massive Online Analysis) is a distributed streaming machine learning (ML) framework that contains a programing abstraction for distributed streaming ML algorithms.
abifet/river
🌊 Online machine learning in Python
abifet/SAC2022
Website SAC 2022 Data Streams Track
abifet/SAC2023
SAC 2023 Data Streams Track
abifet/acceleratedWEKA
Making Weka go fast!
abifet/bigmine16
5th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
abifet/CapyMOA
Enhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique combination empowers users to leverage a wide array of existing algorithms efficiently while fostering the development of new methodologies in both Python and Java.
abifet/dbweb
DBWeb
abifet/IoTStream2022
abifet/ml
Webpage of the Machine Learning group at University of Waikato
abifet/moa-2014.11
Automatically exported from code.google.com/p/moa
abifet/opensource-sigkdd
Paper on open source discussion at BigMine2015
abifet/SAC2024
SAC 2024 Data Streams Track
abifet/SAC2025
SAC 2025 Data stream track
abifet/scikit-multiflow
A multi-output/multi-label and stream data framework. Inspired by MOA and MEKA, following scikit-learn's philosophy.
abifet/streamDM
Stream Data Mining Library for Spark Streaming
abifet/streamDM-Cpp
stream Machine Learning in C++
abifet/taiao