Related references
Note: Only part of the references are listed.An Overview of End-to-End Entity Resolution for Big Data
Vassilis Christophides et al.
ACM COMPUTING SURVEYS (2021)
Efficient Discovery of Matching Dependencies
Philipp Schirmer et al.
ACM TRANSACTIONS ON DATABASE SYSTEMS (2020)
A Statistical Perspective on Discovering Functional Dependencies in Noisy Data
Yunjia Zhang et al.
SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA (2020)
Pattern Functional Dependencies for Data Cleaning
Abdulhakim Qahtan et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2020)
Approximate Denial Constraints
Ester Livshits et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2020)
Wander Join and XDB: Online Aggregation via Random Walks
Feifei Li et al.
ACM TRANSACTIONS ON DATABASE SYSTEMS (2019)
Discovery of Approximate (and Exact) Denial Constraints
Eduardo H. M. Pena et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2019)
Secure Multi-Party Functional Dependency Discovery
Chang Ge et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2019)
HoloDetect: Few-Shot Learning for Error Detection
Alireza Heidari et al.
SIGMOD '19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA (2019)
Distributed implementations of dependency discovery algorithms
Hemant Saxena et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2019)
Efficient Denial Constraint Discovery with Hydra
Tobias Bleifuss et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2017)
Synthesizing Entity Matching Rules by Examples
Rohit Singh et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2017)
A new approach for generating efficient sample from market basket data
B. Chandra et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Locality sensitive hashing for sampling-based algorithms in association rule mining
Chyouhwa Chen et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Discovering Conditional Functional Dependencies
Wenfei Fan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2011)
Dynamic constraints for record matching
Wenfei Fan et al.
VLDB JOURNAL (2011)
A new sampling technique for association rule mining
Basel A. Mahafzah et al.
JOURNAL OF INFORMATION SCIENCE (2009)
Conditional functional dependencies for capturing data inconsistencies
Wenfei Fan et al.
ACM TRANSACTIONS ON DATABASE SYSTEMS (2008)
Power laws, Pareto distributions and Zipf's law
MEJ Newman
CONTEMPORARY PHYSICS (2005)
Identifying approximate itemsets of interest in large databases
CQ Zhang et al.
APPLIED INTELLIGENCE (2003)