Video
Combining Algorithms and Humans for Large-Scale Data Integration
Modern enterprises collect data from their operations and the web, and strongly depend on the collected data to make important decisions. To analyze the collected data, enterprises need to first perform data integration, i.e., combine…
Publication
Pareto Governors for Energy-Optimal Computing
Event
Azure for Research Data Science Training at New York University’s CUSP
New York University’s Center for Urban Science and Progress (CUSP) in conjunction with Microsoft Research and Northeast Big Data Innovation hub is offering a free hands-on data science workshop on Microsoft Azure at CUSP in…
Project
Cross-Domain Data Fusion
1. Overview Traditional data mining usually deals with data from a single domain. In the big data era, we face a diversity of datasets from different sources in different domains. These datasets consist of multiple…