Knowledge Discovery Through Text Mining in the United States Data Science

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Description

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.

Physical Description

15 p.

Creation Information

Khan, Hammad October 25, 2017.

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This presentation is part of the collection entitled: International Conference on Knowledge Management (ICKM) and was provided by the UNT Libraries to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 227 times. More information about this presentation can be viewed below.

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Description

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.

Physical Description

15 p.

Source

  • 13th International Conference on Knowledge Management, October 25-26, 2017. Dallas, Texas.

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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).

UNT Graduate Student Works

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Creation Date

  • October 25, 2017

Added to The UNT Digital Library

  • Nov. 15, 2017, 11:13 a.m.

Description Last Updated

  • Aug. 9, 2019, 1:41 p.m.

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Khan, Hammad. Knowledge Discovery Through Text Mining in the United States Data Science, presentation, October 25, 2017; (https://digital.library.unt.edu/ark:/67531/metadc1040558/: accessed November 9, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .

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