This demo implements. Anmat1, a system to discover PFDs directly from dirty data, and to use them for error detection as a key application for such ICs. The ...

We propose a new type of meta-knowledge, namely pattern functional dependencies (PFDs), that combine patterns (or regex-like rules) and integrity constraints ( ...

The audience will be able to see PFDs discovered from diverse domains. It will also see how new (i.e., cannot be detected by other ICs) data errors can be ...

We propose a new type of meta-knowledge, namely pattern functional dependencies (PFDs), that combine patterns (or regex-like rules) and integrity constraints ( ...

We propose a new type of meta-knowledge, namely pattern functional dependencies (PFDs), that combine patterns (or regex-like rules) and integrity constraints ( ...

Jun 30, 2019 · We propose a new type of meta-knowledge, namely pattern functional dependencies (PFDs), that combine patterns (or regex-like rules) and ...

Dive into the research topics of 'ANMAT: Automatic knowledge discovery and error detection through pattern functional dependencies'. Together they form a unique ...

ANMAT: Automatic Knowledge Discovery and Error Detection through Pattern Functional Dependencies. A Qahtan, N Tang, M Ouzzani, Y Cao, M Stonebraker.

Moreover, we devise an effective algorithm to automatically discover PFDs even in the presence of errors in the data. Our extensive experiments on 15 real-world ...

Qahtan, A., Tang, N., Ouzzani, M., Cao, Y., Stonebraker, M., “ANMAT: Automatic Knowledge Discovery and Error Detection through Pattern Functional Dependencies”, ...