Shelly Sachdeva | Akateeminen Kirjakauppa

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BIG-DATA-ANALYTICS IN ASTRONOMY, SCIENCE, AND ENGINEERING - 9TH INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS, BDA 2021, VIRTUA

Shelly Sachdeva; Yutaka Watanobe; Subhash Bhalla
Springer Nature Switzerland AG (2022)
Pehmeäkantinen kirja

64,10 €

BIG DATA ANALYTICS IN ASTRONOMY, SCIENCE, AND ENGINEERING : 10TH INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS, BDA 2022, AIZU,

Shelly Sachdeva (ed.); Yutaka Watanobe (ed.); Subhash Bhalla (ed.)
Springer (2023)
Pehmeäkantinen kirja

64,10 €

BIG DATA ANALYTICS IN ASTRONOMY, SCIENCE, AND ENGINEERING - 11TH INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS, BDA 2023, AIZU,

Shelly Sachdeva; Yutaka Watanobe
Springer International Publishing AG (2024)
Pehmeäkantinen kirja

65,00 €

DATABASES IN NETWORKED INFORMATION SYSTEMS - 6TH INTERNATIONAL WORKSHOP, DNIS 2010, AIZU-WAKAMATSU, JAPAN, MARCH 29-31, 2010, PR

Shinji Kikuchi; Shelly Sachdeva; Subhash Bhalla
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010)
Pehmeäkantinen kirja

49,60 €

DATABASES IN NETWORKED INFORMATION SYSTEMS - 7TH INTERNATIONAL WORKSHOP, DNIS 2011, AIZU-WAKAMATSU, JAPAN, DECEMBER 12-14, 2011.

Shinji Kikuchi; Aastha Madaan; Shelly Sachdeva; Subhash Bhalla
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2011)
Pehmeäkantinen kirja

49,60 €

Big-Data-Analytics in Astronomy, Science, and Engineering - 9th International Conference on Big Data Analytics, BDA 2021, Virtua

Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla

64,10 €

Springer Nature Switzerland AG
Sivumäärä: 279 sivua
Asu: Pehmeäkantinen kirja
Painos: 1st ed. 2022
Julkaisuvuosi: 2022, 18.02.2022 (lisätietoa)
Kieli: Englanti
Tuotesarja: Information Systems and Applications, incl. Internet/Web, and HCI

This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 7–9, 2021.The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics.

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