6 citations · 10 across the 3 of their papers we have counts for
4 papers
On sampling from data with duplicate records
Alireza Heidari, Shrinu Kushagra, Ihab F. Ilyas
Data deduplication is the task of detecting records in a database that correspond to the same real-world entity. Our goal is to develop a procedure that samples uniformly from the…
Record fusion: A learning approach
Alireza Heidari, George Michalopoulos, Shrinu Kushagra +2
Record fusion is the task of aggregating multiple records that correspond to the same real-world entity in a database. We can view record fusion as a machine learning problem where…
Approximate Denial Constraints
Ester Livshits, Alireza Heidari, Ihab F. Ilyas +1
The problem of mining integrity constraints from data has been extensively studied over the past two decades for commonly used types of constraints including the classic Functional…
Approximate Inference in Structured Instances with Noisy Categorical Observations
Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas
We study the problem of recovering the latent ground truth labeling of a structured instance with categorical random variables in the presence of noisy observations. We present a n…