The Dataset Scaling Problem (DSP) defined in previous work states: Given an empirical set
of relational tables D and a scale factor s, generate a database state D that is similar to D but …

Synthetic data generation is generally used in performance evaluation and function tests in
data-intensive applications, as well as in various areas of data analytics, such as privacy …

Large-scale enterprises, like Amazon and Douban, have enormous datasets. For research
and development, it is impractical to run experiments with such a large dataset. It is therefore …

Synthetic datasets are necessary for performance evaluation and function test in most
database applications. In this paper, we propose a regular expression-based data …

Researchers and developers use benchmarks to compare their algorithms and products. A
database benchmark must have a dataset. To be application-specific, this dataset should be …

Researchers and developers use benchmarks to compare their algorithms and products. For
database systems, a benchmark must have a dataset D. To be application-specific, this …

Many data stream applications have hierarchical data; containing time, geographic
locations, product information, clickstreams, server logs, IP addresses. A hierarchical …