The authors conducted six focus group semi-structured interviews consisting of graduate students and postdoctoral researchers within the College of Engineering at the University of Illinois Urbana-Champaign (UIUC) in order to understand their roles within research groups and their ability to manage research data. More specifically, participants…

In the context of association rule mining, the state-of-the-art in privacy preserving data mining provides solutions for categorical and Boolean association rules but not for quantitative association rules. This research fills this gap by describing a method based on discrete wavelet transform (DWT) to protect input data privacy while preserving…

This work describes the design and construction of an open source, entity resolution system that enables users to assign and maintain persistent identifiers for master data items. Two key features of this system that are not available in current ER systems and that make persistent identification possible are (1) The capture and management of…