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Multimodal analytics for next-genera...

Seng, Kah Phooi.

Multimodal analytics for next-generation big data technologies and applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Multimodal analytics for next-generation big data technologies and applications/ edited by Kah Phooi Seng ... [et al.].
其他作者:	Seng, Kah Phooi.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xv, 391 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Big data. -
電子資源:	https://doi.org/10.1007/978-3-319-97598-6
ISBN:	9783319975986

Multimodal analytics for next-generation big data technologies and applications
Multimodal analytics for next-generation big data technologies and applications[electronic resource] /edited by Kah Phooi Seng ... [et al.]. - Cham :Springer International Publishing :2019. - xv, 391 p. :ill., digital ;24 cm.

Foundations and Principles -- Advanced Information and Knowledge Processing -- Advanced Models and Architectures -- Advanced Applications and Future Trends.

This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.

ISBN: 9783319975986

Standard No.: 10.1007/978-3-319-97598-6doiSubjects--Topical Terms:

981821
Big data.

LC Class. No.: QA76.9.B45 / M85 2019

Dewey Class. No.: 005.7

Multimodal analytics for next-generation big data technologies and applications
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245 0 0 $a Multimodal analytics for next-generation big data technologies and applications $h [electronic resource] / $c edited by Kah Phooi Seng ... [et al.].
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505 0 $a Foundations and Principles -- Advanced Information and Knowledge Processing -- Advanced Models and Architectures -- Advanced Applications and Future Trends.
520 $a This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.
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