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Recent Developments in Machine Learning and Data Analytics IC3 2018 /

This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid sup...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kalita, Jugal (Editor), Balas, Valentina Emilia (Editor), Borah, Samarjeet (Editor), Pradhan, Ratika (Editor)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Advances in Intelligent Systems and Computing, 740
Subjects:
Online Access:Full-text access
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Description
Summary:This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques. .
Physical Description:XIV, 530 p. 233 illus. online resource.
ISBN:9789811312809
ISSN:2194-5365 ;
DOI:10.1007/978-981-13-1280-9