Text and Data Mining Forum

TR Number

Date

2017-04-12

Journal Title

Journal ISSN

Volume Title

Publisher

Virginia Tech. University Libraries

Abstract

This panel discussion was part of Open Data Week 2017 at Virginia Tech. Panelists discussed opportunities and challenges related to text and data mining, with a focus on research purposes and information access. Panelists: Tom Arrow (ContentMine), Tom Ewing (College of Liberal Arts and Human Sciences, Virginia Tech), Weiguo (Patrick) Fan (Pamplin College of Business, Virginia Tech), Ed Fox (Computer Science, Virginia Tech), Leanna House (Statistics, Virginia Tech), Brent Huang (Computer Science, Virginia Tech). Moderator: Virginia Pannabecker (University Libraries, Virginia Tech). Open Data Week 2017 events were supported by a Virginia Tech Beyond Boundaries innovation grant as well as a Virginia Tech faculty mentoring grant.

Description

Keywords

Data mining, ContentMine

Citation