The dataset used in the paper is a Netflix dataset, which is a large-scale matrix factorization problem.

The dataset used in the paper is a matrix completion problem, where the goal is to predict missing entries in a matrix based on known entries.

Three-month smart card dataset of bus ridership, containing over 10 million observations allied with detailed weather measurements, trip length, calendar events, and built...

The dataset used in this paper is a big data set, and the authors use a data sketch algorithm to statistically infer probably approximately correct (PAC) bounds for frequencies...

The dataset used in the paper is a collection of computer science journal articles, specifically the Journal of Big Data 2016.

U-air: When urban air quality inference meets big data