Efficient Multistream Classification using Direct DensIty Ratio Estimation
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Updated
Dec 25, 2017 - Python
Efficient Multistream Classification using Direct DensIty Ratio Estimation
Puro - Highly configurable data streams in Python 3.x
A simple datastream built with Apache Kafka and Python running on Docker.
unsupervised concept drift detection
Implementation tasks for multiple algorithms to process massive data. The algorithms are written in Python.
Fake-Heart-Sensor-Data-Using-Python-and-Kafka is a GitHub project that provides a simple and easy-to-use way to generate simulated heart sensor data using Python and Kafka. This project is ideal for developers who want to test their applications with realistic heart sensor data or simulate a data stream for research purposes.
Broad Ensemble Learning System (BELS)
Dynamic Ensemble Diversification
Balancing Efficiency vs. Effectiveness and Providing Missing Label Robustness in Multi-Label Stream Classification
Python wrapper for the Datastream Web Services API (DSWS)
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