Industrial Event Log Analyzer - Self-Service Data Mining for Domain Experts
Abstract
Industrial applications of machine learning rely heavily on deep domain knowledge that data scientist and machine learning expert usually do not have. Iterative and time-consuming communication between machine learning expert and domain expert are the consequence. In this demo, we introduce a semi-functional mock-up that demonstrates how a system can guide domain users through a machine learning process if the scope of problem and data type are narrowed done.
Cite
Text
Borrison et al. "Industrial Event Log Analyzer - Self-Service Data Mining for Domain Experts." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019. doi:10.1007/978-3-030-46133-1_54Markdown
[Borrison et al. "Industrial Event Log Analyzer - Self-Service Data Mining for Domain Experts." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019.](https://mlanthology.org/ecmlpkdd/2019/borrison2019ecmlpkdd-industrial/) doi:10.1007/978-3-030-46133-1_54BibTeX
@inproceedings{borrison2019ecmlpkdd-industrial,
title = {{Industrial Event Log Analyzer - Self-Service Data Mining for Domain Experts}},
author = {Borrison, Reuben and Klöpper, Benjamin and Saini, Sunil},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2019},
pages = {794-798},
doi = {10.1007/978-3-030-46133-1_54},
url = {https://mlanthology.org/ecmlpkdd/2019/borrison2019ecmlpkdd-industrial/}
}