ML Anthology

An AI Planning System for Data Cleaning

Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica
ECML-PKDD 2017 pp. 349-353
doi:10.1007/978-3-319-71273-4_29 /ecmlpkdd/2017/boselli2017ecmlpkdd-ai/

Abstract

Data Cleaning represents a crucial and error prone activity in KDD that might have unpredictable effects on data analytics, affecting the believability of the whole KDD process. In this paper we describe how a bridge between AI Planning and Data Quality communities has been made, by expressing both the data quality and cleaning tasks in terms of AI planning. We also report a real-life application of our approach.

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Cite

Text

Boselli et al. "An AI Planning System for Data Cleaning." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017. doi:10.1007/978-3-319-71273-4_29

Markdown

[Boselli et al. "An AI Planning System for Data Cleaning." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017.](https://mlanthology.org/ecmlpkdd/2017/boselli2017ecmlpkdd-ai/) doi:10.1007/978-3-319-71273-4_29

BibTeX

@inproceedings{boselli2017ecmlpkdd-ai,
  title     = {{An AI Planning System for Data Cleaning}},
  author    = {Boselli, Roberto and Cesarini, Mirko and Mercorio, Fabio and Mezzanzanica, Mario},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2017},
  pages     = {349-353},
  doi       = {10.1007/978-3-319-71273-4_29},
  url       = {https://mlanthology.org/ecmlpkdd/2017/boselli2017ecmlpkdd-ai/}
}