Intelligent Computing : Proceedings of the 2020 Computing Conference, Volume 1 / edited by Kohei Arai, Supriya Kapoor, Rahul Bhatia

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Advances in Intelligent Systems and Computing ; 1228Publisher: Cham : Springer International Publishing, 2020Publisher: Cham : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XI, 829 p. 447 illus., 315 illus. in color.)ISBN:

9783030522490

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Additional physical formats: 9783030522483 | 9783030522506 | Erscheint auch als: 9783030522483 Druck-Ausgabe | Erscheint auch als: 9783030522506 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-52249-0Online resources:

Summary: Demonstrating Advanced Machine Learning and Neuromorphic Computing using IBM’s NS16e -- A Flexible Hybrid Approach to Data Replication in Distributed Systems -- Personalized Recommender Systems with Multi-source Data -- Machine Learning for Offensive Security: Sandbox Classification using Decision Trees and Artificial Neural -- Smart Cities: Using Gamification and Emotion Detection to Improve Citizens Well Fair and Commitment -- Data Market Implementation to Match Retail Customer Buying versus Social Media Activity.Summary: This book focuses on the core areas of computing and their applications in the real world. Presenting papers from the Computing Conference 2020 covers a diverse range of research areas, describing various detailed techniques that have been developed and implemented. The Computing Conference 2020, which provided a venue for academic and industry practitioners to share new ideas and development experiences, attracted a total of 514 submissions from pioneering academic researchers, scientists, industrial engineers and students from around the globe. Following a double-blind, peer-review process, 160 papers (including 15 poster papers) were selected to be included in these proceedings. Featuring state-of-the-art intelligent methods and techniques for solving real-world problems, the book is a valuable resource and will inspire further research and technological improvements in this important area.PPN: PPN: 1726030164Package identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT

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