Yee Ling Boo (ed.) | Akateeminen Kirjakauppa

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DATA MINING : 15TH AUSTRALASIAN CONFERENCE, AUSDM 2017, MELBOURNE, VIC, AUSTRALIA, AUGUST 19-20, 2017, REVISED SELECTED PAPERS

Yee Ling Boo (ed.); David Stirling (ed.); Lianhua Chi (ed.); Lin Liu (ed.); Kok-Leong Ong (ed.); Graham Williams (ed.)
Springer (2018)
Pehmeäkantinen kirja

97,90 €

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 : 19TH AUSTRALASIAN CONFERENCE ON DATA MINING, AUSDM 2021, BRISBANE, QLD, AUSTRALIA, DECEMBER 14-15, 2021, PROCEEDIN

Yue Xu (ed.); Rosalind Wang (ed.); Anton Lord (ed.); Yee Ling Boo (ed.); Richi Nayak (ed.); Yanchang Zhao (ed.); Williams
Springer (2021)
Pehmeäkantinen kirja

73,70 €

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 €

Data Mining : 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers

Yee Ling Boo (ed.), David Stirling (ed.), Lianhua Chi (ed.), Lin Liu (ed.), Kok-Leong Ong (ed.), Graham Williams (ed.)

97,90 €

Springer
Sivumäärä: 277 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2018, 14.04.2018 (lisätietoa)
Kieli: Englanti
Tuotesarja: Communications in Computer and Information Science 845

This book constitutes the refereed proceedings of the 15th Australasian Conference on Data Mining, AusDM 2017, held in Melbourne, VIC, Australia, in August 2017.

The 17 revised full papers presented together with 11 research track papers and 6 application track papers were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on clustering and classification; big data; time series; outlier detection and applications; social media and applications.

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