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].
Citazione: | 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]. | |
Tipo: | paper | |
Carattere della pubblicazione: | Scientifica | |
Presenza di un coautore afferente ad Istituzioni straniere: | No | |
Titolo: | An AI Planning System for Data Cleaning | |
Autori: | Boselli, R; Cesarini, M; Mercorio, F; Mezzanzanica, M | |
Autori: | ||
Data di pubblicazione: | 2017 | |
Lingua: | English | |
Nome del convegno: | The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML-PKDD 18-22 September | |
ISBN: | 9783319712727 | |
Serie: | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-319-71273-4_29 | |
Appare nelle tipologie: | 02 - Intervento a convegno |
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ECML_PKDD17_nectar.pdf | N/A | Open Access Visualizza/Apri |