Abstract
In this paper we discuss Falcon, an interactive, deterministic, and declarative data cleaning system. Unlike traditional rule-based system, Falcon does not rely on the existence of a set of pre-defined data quality rules, but it encourages users to explore the data, identify possible problems, and make updates to fix them. The main technical challenge consists in finding a set of rules, expressed as sql update queries, that are semantically correct and that fixes the largest number of errors in the data. Falcon navigates the lattice by interacting with users to gradually checking the correctness of a set of rules. We have conducted extensive experiments using both real-world and synthetic datasets to show that Falcon can effectively communicate with users in data repairing.
Original language | English (US) |
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Title of host publication | 25th Italian Symposium on Advanced Database Systems, SEBD 2017 |
Publisher | Sistemi Evoluti per Basi di Dati (SEBD) |
Pages | 267-274 |
Number of pages | 8 |
State | Published - Jan 1 2017 |
Event | 25th Italian Symposium on Advanced Database Systems, SEBD 2017 - Squillace Lido, Catanzaro, Italy Duration: Jun 25 2017 → Jun 29 2017 |
Other
Other | 25th Italian Symposium on Advanced Database Systems, SEBD 2017 |
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Country/Territory | Italy |
City | Squillace Lido, Catanzaro |
Period | 6/25/17 → 6/29/17 |
ASJC Scopus subject areas
- Software
- Information Systems