Next Generation Data Science [electronic resource] : Second Southwest Data Science Conference, SDSC 2023, Waco, TX, USA, March 24-25, 2023, Revised Selected Papers / edited by Henry Han, Erich Baker.
Contributor(s): Han, Henry [editor.]
| Baker, Erich [editor.] | SpringerLink (Online service).
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BookSeries: Communications in Computer and Information Science: 2113Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024.Description: X, 256 p. 127 illus., 99 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031618161.Subject(s): Computer engineering | Computer networks | Artificial intelligence | Computer science -- Mathematics | Image processing -- Digital techniques | Computer vision | Application software | Computer Engineering and Networks | Artificial Intelligence | Mathematics of Computing | Computer Imaging, Vision, Pattern Recognition and Graphics | Computer Communication Networks | Computer and Information Systems ApplicationsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.39 | 004.6 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the refereed proceedings of the Sescond Southwest Data Science Conference, SDSC 2023, held in Waco, TX, USa, during March 24-25, 2023. The 16 full and 1 short paper included in this book were carefully reviewed and selected from 72 submissions. They were oragnized in topical sections named: Business social and foundation data science; and applied data science, artifiicial intelligence and data engineering. .
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This book constitutes the refereed proceedings of the Sescond Southwest Data Science Conference, SDSC 2023, held in Waco, TX, USa, during March 24-25, 2023. The 16 full and 1 short paper included in this book were carefully reviewed and selected from 72 submissions. They were oragnized in topical sections named: Business social and foundation data science; and applied data science, artifiicial intelligence and data engineering. .
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