Presented at the 2017 International Conference on Knowledge Management. This presentation examines uses knowledge discovery and text mining to identify patterns and trends in the data science discipline by examining core course titles of the Data Science curriculum offered in the United States.
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Presented at the 2017 International Conference on Knowledge Management. This presentation examines uses knowledge discovery and text mining to identify patterns and trends in the data science discipline by examining core course titles of the Data Science curriculum offered in the United States.
This presentation is part of the following collections of related materials.
International Conference on Knowledge Management (ICKM)
Serving as digital proceedings, this collection includes papers, posters, and slides from invited talks as well as practitioner and sponsor presentations for the annual International Conference on Knowledge Management (ICKM).
This collection houses graduate student works other than theses and dissertations. All materials have been previously accepted by a professional organization or approved by a faculty mentor. The collection includes, but is not limited to projects or problems in lieu of thesis, supplemental files associated with theses and dissertations, posters, recitals, presentations, articles, reviews, book chapters, exhibitions, and artwork. Some items in this collection are restricted to use by the UNT community.