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GitHub topics: data-stream-mining

outbrain-inc/outrank

A Python library for efficient feature ranking and selection on sparse data sets.

Language: Python - Size: 2.68 MB - Last synced at: 7 days ago - Pushed at: 12 days ago - Stars: 21 - Forks: 5

Waikato/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.

Language: Java - Size: 30.6 MB - Last synced at: 17 days ago - Pushed at: about 1 month ago - Stars: 636 - Forks: 355

kmalialis/siameseduo

SiameseDuo++ (Neurcomputing 2025)

Size: 1.95 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

outbrain-inc/fwumious_wabbit

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

Language: Rust - Size: 4.4 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 137 - Forks: 19

pedrolarben/ADLStream

Asynchronous dual-pipeline deep learning framework for online data stream mining

Language: Python - Size: 632 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 7

hmgomes/StreamingRandomPatches

Repository for the StreamingRandomPatches algorithm implemented in MOA 2019.04

Language: Java - Size: 71.1 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 1

PetoLau/ClipStream

ClipStream - multiple data streams clustering method

Language: R - Size: 33.2 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 2

ognis1205/mutad

Realtime Data Processing and Search Engine Implementation.

Language: Java - Size: 210 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 0

SixingYan/Sketch-for-Data-Stream

Language: Python - Size: 21.3 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

erstome/Reports

A repro with reports of the assignments of the master degree in data science

Language: HTML - Size: 42.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

xmassmx/GE-461-Data-Stream-Mining

Language: Python - Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

JayKumarr/OSDM

This code belongs to ACL conference paper entitled as "An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering"

Language: Python - Size: 831 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 14 - Forks: 4

ludekcizinsky/pl-stream-local

Implementation of the PLStream locally on macOS.

Language: Python - Size: 19.5 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

gurokeretcha/Anomaly-detection-using-k-means-in-streaming

This is a anomaly detection is real-time using K-means

Language: Jupyter Notebook - Size: 630 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1

gurokeretcha/Classification-in-Data-Streaming

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

atenearesearchgroup/CEP-Preprocessing

Complex event processing for data stream preprocessing

Language: Java - Size: 80.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ben-denham/hdsm

Hierarchical Distributed Stream Miner: A Distributed Data Mining Approach to Classifying Heterogeneous Data Streams

Language: Jupyter Notebook - Size: 232 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

Related Keywords
data-stream-mining 17 machine-learning 6 data-mining 4 data-stream-processing 3 data-stream 3 moa 2 machine-learning-algorithms 2 java 2 deep-learning 2 clustering 2 statistics 2 incremental-learning 2 concept-drift 2 data-science 2 automl 1 big-data 1 bigquery 1 cloud-computing 1 computer-vision 1 google-cloud-platform 1 nlp 1 nlp-machine-learning 1 operational-research 1 online-machine-learning 1 artificial-intelligence 1 ampl 1 typescript 1 storm 1 spring-boot 1 reactjs 1 nextjs 1 microservice 1 material-ui 1 kibana 1 kafka 1 logistic-regression 1 distributed-machine-learning 1 distributed-data-mining 1 rules 1 preprocessing 1 cep 1 visualization 1 k-means-clustering 1 anomaly-detection 1 pyflink 1 text-stream 1 text-mining 1 text-clustering 1 stochastic-process 1 non-parametric 1 dirichlet-process-mixtures 1 dirichlet-process 1 naive-bayes-classifier 1 k-nearest-neighbours 1 hoeffding-trees 1 time-series 1 sql 1 reports 1 python 1 parallel-computing 1 factorization-machines 1 stream-learning 1 siamese-networks 1 data-stream-classification 1 data-augmentation 1 active-learning 1 streaming-algorithms 1 scalable-machine-learning 1 sampling-methods 1 python-library 1 probabilistic-programming 1 online-learning-algorithms 1 online-feature-building 1 numba-jit-compiler 1 multithreaded 1 feature-selection 1 feature-ranking 1 feature-engineering 1 data-monitoring 1 counting 1 cardinality-estimation 1 algorithms 1 elasticsearch 1 docker 1 cloud 1 aws 1 time-series-representations 1 time-series-analysis 1 r 1 forecasting 1 electricity-consumption-forecasting 1 data-stream-clustering 1 clustering-algorithm 1 cluster-analysis 1 random-subspace-ensemble 1 ensemble-learning 1 ensemble 1 drift-detection 1 datastream 1 data-streams 1