@inproceedings{05ebb96801b14a78bf3066143f46410a,
title = "Semantic of data dependencies to improve the data quality",
abstract = "Data quality in databases is a critical challenge because the cost of anomalies may be very high, especially for large databases. Therefore, the correction of these anomalies represents an issue that has become more and more important both in enterprises and in academia. In this work, we address the problems of intra-column and inter-columns anomalies in big data. We propose a new approach for data cleaning that takes into account the semantic dependencies between the columns of a data source. The novelty of our proposal is the reduction of the size of the search space in the process of functional dependency discovery based on data semantics. In this paper, we present the first steps of our work. They allow recognizing the semantics of data and correct intra-column anomalies.",
keywords = "Big data, Data cleaning, Data quality, Data structure, Functional dependencies, Semantic dependencies",
author = "Houda Zaidi and Yann Pollet and Faouzi Boufar{\`e}s and Naoufel Kraiem",
year = "2015",
doi = "10.1007/978-3-319-23781-7_5",
language = "English",
isbn = "9783319237800",
volume = "9344",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "53--61",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "5th International Conference on Model and Data Engineering, MEDI 2015 ; Conference date: 26-09-2015 Through 28-09-2015",
}