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220901 ||| eng |
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|a 9789811933110
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100 |
1 |
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|a Asokan, R.
|e [editor]
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245 |
0 |
0 |
|a Smart Data Intelligence
|h Elektronische Ressource
|b Proceedings of ICSMDI 2022
|c edited by R. Asokan, Diego P. Ruiz, Zubair A. Baig, Selwyn Piramuthu
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250 |
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|a 1st ed. 2022
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260 |
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|a Singapore
|b Springer Nature Singapore
|c 2022, 2022
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300 |
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|a XVI, 599 p. 287 illus., 222 illus. in color
|b online resource
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505 |
0 |
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|a Detection and Analysis of Sentiments on Twitter Using Machine Learning Algorithm -- Malware Attack Detection on IoT Devices Using Machine Learning -- BeSafe: IoT Based Safety Band -- Stock Market Analysis and forecasting with Statistical and Deep Learning Methods -- The paradigm shift in Higher Education from traditional learning to digitalisation -- Designing a socially intelligent system by cognitive modeling of human-environment interaction -- Web-Based recycle Waste Management for Ecommerce
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653 |
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|a Data Analysis and Big Data
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653 |
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|a Computational intelligence
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653 |
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|a Multimedia systems
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653 |
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|a Quantitative research
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653 |
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|a Mathematical Models of Cognitive Processes and Neural Networks
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653 |
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|a Data mining
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653 |
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|a Computational Intelligence
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653 |
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|a Neural networks (Computer science)
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653 |
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|a Data Mining and Knowledge Discovery
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653 |
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|a Multimedia Information Systems
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700 |
1 |
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|a Ruiz, Diego P.
|e [editor]
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700 |
1 |
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|a Baig, Zubair A.
|e [editor]
|
700 |
1 |
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|a Piramuthu, Selwyn
|e [editor]
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
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|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
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|a Algorithms for Intelligent Systems
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028 |
5 |
0 |
|a 10.1007/978-981-19-3311-0
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-19-3311-0?nosfx=y
|x Verlag
|3 Volltext
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082 |
0 |
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|a 006.3
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520 |
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|a This book presents high-quality research papers presented at 2nd International Conference on Smart Data Intelligence (ICSMDI 2022) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during April 2022. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, healthcare, information, and communication applications
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