Yun Sing Koh (ed.) | Akateeminen Kirjakauppa

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DATA SCIENCE AND MACHINE LEARNING : 21ST AUSTRALASIAN CONFERENCE, AUSDM 2023, AUCKLAND, NEW ZEALAND, DECEMBER 11–13, 2023, PROCE

Diana Benavides-Prado (ed.); Sarah Erfani (ed.); Philippe Fournier-Viger (ed.); Yee Ling Boo (ed.); Yun Sing Koh (ed.)
Springer (2023)
Pehmeäkantinen kirja

68,90 €

DATA MINING : 16TH AUSTRALASIAN CONFERENCE, AUSDM 2018, BAHRURST, NSW, AUSTRALIA, NOVEMBER 28–30, 2018, REVISED SELECTED PAPERS

Rafiqul Islam (ed.); Yun Sing Koh (ed.); Yanchang Zhao (ed.); Graco Warwick (ed.); David Stirling (ed.); Chang-Tsun (e Li
Springer (2019)
Pehmeäkantinen kirja

49,60 €

DATA MINING : 20TH AUSTRALASIAN CONFERENCE, AUSDM 2022, WESTERN SYDNEY, AUSTRALIA, DECEMBER 12–15, 2022, PROCEEDINGS

Laurence A. F. Park (ed.); Heitor Murilo Gomes (ed.); Maryam Doborjeh (ed.); Yee Ling Boo (ed.); Yun Sing Koh (ed.); Zhao
Springer (2022)
Pehmeäkantinen kirja

73,70 €

AI 2024: ADVANCES IN ARTIFICIAL INTELLIGENCE : 37TH AUSTRALASIAN JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, AI 2024, MELBOURNE

Mingming Gong (ed.); Yiliao Song (ed.); Yun Sing Koh (ed.); Wei Xiang (ed.); Derui Wang (ed.)
Springer (2025)
Pehmeäkantinen kirja

72,80 €

AI 2024: ADVANCES IN ARTIFICIAL INTELLIGENCE : 37TH AUSTRALASIAN JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, AI 2024, MELBOURNE

Mingming Gong (ed.); Yiliao Song (ed.); Yun Sing Koh (ed.); Wei Xiang (ed.); Derui Wang (ed.)
Springer (2024)
Pehmeäkantinen kirja

72,80 €

Data Science and Machine Learning : 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11–13, 2023, Proce

Diana Benavides-Prado (ed.), Sarah Erfani (ed.), Philippe Fournier-Viger (ed.), Yee Ling Boo (ed.), Yun Sing Koh (ed.)

68,90 €

Springer
Sivumäärä: 300 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2023, 05.12.2023 (lisätietoa)
Kieli: Englanti
Tuotesarja: Communications in Computer and Information Science 1943

This book constitutes the proceedings of the 21st Australasian Conference on Data Science and Machine Learning, AusDM 2023, held in Auckland, New Zealand, during December 11–13, 2023.

The 20 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers are organized in the following topical sections: research track and application track. They deal with topics around data science and machine learning in everyday life.

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