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Discover Dependencies from Data—A Review
- Source :
- IEEE Transactions on Knowledge and Data Engineering. 24:251-264
- Publication Year :
- 2012
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2012.
-
Abstract
- Functional and inclusion dependency discovery is important to knowledge discovery, database semantics analysis, database design, and data quality assessment. Motivated by the importance of dependency discovery, this paper reviews the methods for functional dependency, conditional functional dependency, approximate functional dependency, and inclusion dependency discovery in relational databases and a method for discovering XML functional dependencies. Refereed/Peer-reviewed
- Subjects :
- Dependency (UML)
Information retrieval
Computer science
computer.internet_protocol
Relational database
conditional functional dependencies
knowledge discovery
XML
Semantics
functional dependencies
Database design
Computer Science Applications
inclusion dependencies
Dependency theory (database theory)
Computational Theory and Mathematics
Knowledge extraction
Data quality
Data integrity
data quality
integrity constraint
Functional dependency
computer
Computer Science::Databases
Information Systems
Subjects
Details
- ISSN :
- 10414347
- Volume :
- 24
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Knowledge and Data Engineering
- Accession number :
- edsair.doi.dedup.....1f8400af1422beaaf31c06e47e4d16b2