Aijun An

Mining High Utility Sequential Patterns from Evolving Data Streams

2015

In this paper, we define the problem of mining high utility sequential patterns (HUSPs) over high-velocity streaming data and propose an efficient algorithm for mining HUSPs over a data stream. The main challenges we tackle …

Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning

2020 · arXiv (Cornell University)

The bulk synchronous parallel (BSP) is a celebrated synchronization model for general-purpose parallel computing that has successfully been employed for distributed training of machine learning models. A prevalent shortcoming of the BSP is that it …