Advances in Machine Learning and Data Science

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Advances in Machine Learning and Data Science

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Bibliografiska uppgifter
Huvudupphovsmän:	Edla, Damodar Reddy, Lingras, Pawan, K., Venkatanareshbabu
Materialtyp:	Bok
Språk:	English
Publicerad:	Springer Singapore 2020
Ämnen:	Engineering Computational Intelligence Data Mining and Knowledge Discovery
Länkar:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/88670
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

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Nature-Inspired Computation in Data Mining and Machine Learning
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Advances in Data Sciences, Security and Applications
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Machine Learning for Intelligent Decision Science. 1st ed.
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Machine Learning for Cyber Physical Systems
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Recent Advances on Soft Computing and Data Mining
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Software Data Engineering for Network eLearning Environments
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Machine Learning Paradigms
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Machine Learning and Artificial Intelligence
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Mathematical Theories of Machine Learning - Theory and Applications
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Data Science and Big Data: An Environment of Computational Intelligence
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Implementations and Applications of Machine Learning. 1st ed.
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Data Visualization and Knowledge Engineering
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Computational Intelligence in Data Mining
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Computational Intelligence in Data Mining
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Computational Intelligence in Data Mining
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Soft Computing in Data Analytics
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Artificial Intelligent Methods for Handling Spatial Data
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Proceedings of International Conference on Computational Intelligence and Data Engineering
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Mobile Big Data. 1st ed. 2018
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Cognitive Computing for Big Data Systems Over IoT
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Machine Learning and Data Mining in Pattern Recognition
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Advances in Data and Information Sciences
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Machine Learning in Cyber Trust
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Information and Decision Sciences
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Advances in Machine Learning
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An Introduction to Machine Learning. 2nd ed.
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Advances in Mobile Cloud Computing and Big Data in the 5G Era
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Machine Learning and Data Mining in Pattern Recognition
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Machine Learning and Data Mining in Pattern Recognition
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Advances in Knowledge Discovery and Management. 1st ed. 2018
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Advances in Data Mining. Applications and Theoretical Aspects
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Machine Learning and Knowledge Extraction
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Machine Learning and Data Mining in Pattern Recognition
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Intelligent Computing Paradigm: Recent Trends
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Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data. 1st ed. 2018
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