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.

Boselli, R., Cesarini, M., Mercorio, F., Mezzanzanica, M. (2017). An AI Planning System for Data Cleaning. In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III (pp.349-353). Springer Verlag [10.1007/978-3-319-71273-4_29].

An AI Planning System for Data Cleaning

Boselli, R;Cesarini, M;Mercorio, F
;
Mezzanzanica, M
2017

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.
paper
AI planning ; Data quality ; Data cleaning ; ETL
English
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML-PKDD 18-22 September
2017
Boselli, R; Cesarini, M; Mercorio, F; Mezzanzanica, M
Ceci, M; Hollmen, J; Todorovski, L; Vens, C; Džeroski, S
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III
9783319712727
2017
10536
349
353
http://ecmlpkdd2017.ijs.si/papers/paperID719.pdf
open
Boselli, R., Cesarini, M., Mercorio, F., Mezzanzanica, M. (2017). An AI Planning System for Data Cleaning. In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III (pp.349-353). Springer Verlag [10.1007/978-3-319-71273-4_29].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/176332
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