data-stream-mining

There are 4 repositories under data-stream-mining topic.

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.
clustering data-stream-mining java machine-learning machine-learning-algorithms moa streaming-algorithms
Language:Java 599
outbrain / fwumious_wabbit
Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
data-stream-mining deep-learning factorization-machines incremental-learning logistic-regression machine-learning online-learning rust
Language:Rust 129
pedrolarben / ADLStream
Asynchronous dual-pipeline deep learning framework for online data stream mining
data-stream-mining deep-learning gpu
Language:Python 16
JayKumarr / OSDM
This code belongs to ACL conference paper entitled as "An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering"
data-stream data-stream-mining data-stream-processing dirichlet-process dirichlet-process-mixtures non-parametric stochastic-process text-clustering text-mining text-stream
Language:Python 15
ognis1205 / mutad
Realtime Data Processing and Search Engine Implementation.
docker aws cloud reactjs nextjs elasticsearch kibana spring-boot kafka storm microservice data-stream-processing data-stream-mining typescript java material-ui
Language:Java 15
outbrain / outrank
A Python library for efficient feature ranking and selection on sparse data sets.
data-mining data-monitoring data-stream-mining feature-ranking feature-selection online-feature-building python-library scalable-machine-learning algorithms counting machine-learning probabilistic-programming statistics numba-jit-compiler cardinality-estimation multithreaded online-learning-algorithms feature-engineering sampling-methods
Language:Python 13
hmgomes / StreamingRandomPatches
Repository for the StreamingRandomPatches algorithm implemented in MOA 2019.04
data-streams datastream machine-learning-algorithms data-stream-mining ensemble-learning ensemble random-subspace-ensemble bagging moa classification drift-detection concept-drift
Language:Java 4
PetoLau / ClipStream
ClipStream - multiple data streams clustering method
cluster-analysis clustering-algorithm data-mining data-science data-stream data-stream-clustering data-stream-mining electricity-consumption-forecasting forecasting machine-learning r time-series-analysis time-series-representations
Language:R 4
elrasp / osm
Opinion Stream Mining
sentiment-analysis opinion-mining active-learning data-stream-mining
Language:Python 2
xmassmx / GE-461-Data-Stream-Mining
data-stream-mining hoeffding-trees k-nearest-neighbours naive-bayes-classifier
Language:Python 1
atenearesearchgroup / CEP-Preprocessing
Complex event processing for data stream preprocessing
cep data-stream-mining preprocessing rules
Language:Java 0
erstome / MSc-Data-Science-Reports
A repro with reports of the assignments of the master degree in data science
data-science artificial-intelligence machine-learning parallel-computing computer-vision big-data cloud-computing data-stream-mining automl operational-research python ampl sql bigquery google-cloud-platform time-series statistics reports nlp nlp-machine-learning
Language:HTML 0
GStepien / Transceiver_Framework
Transceiver Framework: A framework for concurrent multi stage processing of data & MDP: An online motif detector and predictor embedded in the transceiver framework.
motif-discovery motif-analysis motif-detector motif stream-processing time-series-analysis time-series-prediction time-series-forecasting data-stream-mining concurrency framework parallel-processing concurrent-queues pipeline-framework multithreaded customizable json predictor stream language-model
Language:Java 0
gurokeretcha / Anomaly-detection-using-k-means-in-streaming
This is a anomaly detection is real-time using K-means
data-stream-mining clustering visualization anomaly-detection k-means-clustering
Language:Jupyter Notebook 0
gurokeretcha / Classification-in-Data-Streaming
data-stream-mining
Language:Jupyter Notebook 0
ludekcizinsky / pl-stream-local
Implementation of the PLStream locally on macOS.
data-stream-mining pyflink
Language:Python 0
ben-denham / hdsm
Hierarchical Distributed Stream Miner: A Distributed Data Mining Approach to Classifying Heterogeneous Data Streams
machine-learning data-mining distributed-machine-learning distributed-data-mining online-machine-learning data-stream-mining
Language:Jupyter Notebook
SixingYan / Sketch-for-Data-Stream
data-stream-mining data-stream-processing data-mining data-stream
Language:Python