There are 2 repositories under datastream topic.
Apache Flink connector for ElasticSearch
BBoxDB is a scalable, highly available, and distributed data store for multi-dimensional big data. The software supports operations like multi-dimensional range queries and spatial joins. In addition, data streams are supported.
基于Apache-bahir-kudu-connector的flink-connector-kudu,支持Flink1.11.x DynamicTableSource/Sink,支持Range分区等
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
A framework for data stream modeling and associated data mining tasks such as clustering and classification. - R Package
concept drift datasets edited to work with scikit-multiflow directly
unsupervised concept drift detection
SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream
Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework.
ECHO is a semi-supervised framework for classifying evolving data streams based on our previous approach SAND. The most expensive module of SAND is the change detection module, which has cubic time complexity. ECHO uses dynamic programming to reduce the time complexity. Moreover, ECHO has a maximum allowable sliding window size. If there is no concept drift detected within this limit, ECHO updates the classifiers and resets the sliding window. Experiment results show that ECHO achieves significant speed up over SAND while maintaining similar accuracy. Please refer to the paper (mentioned in the reference section) for further details.
This guide aims to be a full instruction on how to download and merge Refinitiv (formerly Thomson Reuters) Datastream Worldscope data into one comprehensive dataset of yearly stock quoted financial statements.
Broad Ensemble Learning System (BELS)
UX-Dataflow is a streaming capable data multiplexer that allows you to aggregate data and then process it using a Chain of Responsibility design pattern.
Flink DataStream connectors for NATS JetStream
Repository for the StreamingRandomPatches algorithm implemented in MOA 2019.04
use to read or write binary files / binary data stream
This application uses the OPC Unified Architecture (OPC UA) to accept a list of nodes and subscribe to their value. When a change is received, it pushes the new value to an IOT hub. Here the data can be processed near real-time.
DynED is a novel ensemble construction and maintenance approach for data stream classification that dynamically balances the diversity and prediction accuracy of its components.