Advanced Hybrid Information Processing

Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings

Nonfiction, Computers, Networking & Communications, Hardware, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Advanced Hybrid Information Processing by , Springer International Publishing
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Author: ISBN: 9783030190866
Publisher: Springer International Publishing Publication: May 12, 2019
Imprint: Springer Language: English
Author:
ISBN: 9783030190866
Publisher: Springer International Publishing
Publication: May 12, 2019
Imprint: Springer
Language: English

This book constitutes the refereed proceedings of the Second EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2018, held in Yiyang, China, in October 2018. The 71 papers presented were selected from 228 submissions and focus on hybrid big data processing. Since information processing has acted as an important research domain in science and technology today, it is the right time to develop deeper and wider use of hybrid information processing, especially information processing for big data. There are more remaining issues waiting for solving, such as classification and systemization of big data, objective tracking and behavior understanding in big multimedia data, encoding and compression of big data.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book constitutes the refereed proceedings of the Second EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2018, held in Yiyang, China, in October 2018. The 71 papers presented were selected from 228 submissions and focus on hybrid big data processing. Since information processing has acted as an important research domain in science and technology today, it is the right time to develop deeper and wider use of hybrid information processing, especially information processing for big data. There are more remaining issues waiting for solving, such as classification and systemization of big data, objective tracking and behavior understanding in big multimedia data, encoding and compression of big data.

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