@inproceedings{8653b509d1a248c18ceb360aa0df5f77,
title = "Implicit Directed Acyclic Graphs (DAGs) for Parallel Outlier/Anomaly Detection Ensembles",
abstract = "We present a methodology to automatically parallelize outlier detection ensemble models using directed acyclic graphs embedding the MapReduce paradigm. The DAGs are built implicitly such that naive sequential computations can be transformed into efficient parallel computations without changing the underlying implementation. We show that the proposed parallelization approach is an effective strategy to combat the computational complexity inherent to ensemble learning models, leading to a near-optimal speedup in a theoretical setting, and a substantial speedup in a practical setting.",
keywords = "anomaly detection, ensemble learning, outlier detection",
author = "David Muhr and Michael Affenzeller and Josef K{\"u}ng",
note = "Publisher Copyright: {\textcopyright} 2023, IFIP International Federation for Information Processing.; 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023 ; Conference date: 14-06-2023 Through 17-06-2023",
year = "2023",
doi = "10.1007/978-3-031-34107-6_1",
language = "English",
isbn = "9783031341069",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer",
pages = "3--15",
editor = "Ilias Maglogiannis and Lazaros Iliadis and John MacIntyre and Manuel Dominguez",
booktitle = "Artificial Intelligence Applications and Innovations - 19th IFIP WG 12.5 International Conference, AIAI 2023, Proceedings",
address = "Germany",
}