Addressing the increasing demand for data exchange has led to the development of data
markets that facilitate transactional interactions between data buyers and data sellers. Still …

In the realm of natural language processing, the understanding of tabular data has
perpetually stood as a focal point of scholarly inquiry. The emergence of expansive …

Building a robust predictive model requires an array of steps such as data imputation,
feature transformations, estimator selection, hyper-parameter search, ensemble …

Wordle is a word-guessing game from The New York Times in which the player solves
puzzles through a limited number of attempts, receiving feedback for each attempt. In this …

In the context of data preparation for data science, we study the data enrichment problem,
which is the challenge of augmenting a table with relevant data. We consider two …

Sparse representations have been used in solving many problems in computer science.
Two issues that need to be addressed in formulating such a representation are: the problem …