NICDAM

A Nature-Inspired Concept Drift Adaptation Method for Industrial Data Stream Regression

Cite As

@incollection{Trat.2024,
 author = {Trat, Martin and Bergmann, Philipp and Ott, Andreas and Ovtcharova, Jivka},
 title = {A Nature-Inspired Concept Drift Adaptation Method for Industrial Data Stream Regression},
 pages = {3--13},
 publisher = {{Springer Nature Switzerland}},
 isbn = {978-3-031-74481-5},
 series = {Lecture Notes in Mechanical Engineering},
 editor = {Wang, Yi-Chi and Chan, Siu Hang and Wang, Zih-Huei},
 booktitle = {Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order},
 year = {2024},
 address = {Cham},
 doi = {10.1007/978-3-031-74482-2{\_}1}
}

Installation

• install python >= 3.9, < 3.13
• install Python-Poetry

  python -m pip install poetry

• clone this repository

  git clone [email protected]:m-martin-j/NICDAM.git

• set up virtual environment and install dependencies

  cd NICDAM
  python -m poetry install

Usage

See example.py.