Soft Computing in Data Science Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27-28, 2017, Proceedings

SCDS 2017 provided a platform for discussions on leading-edge methods and also addressed challenges, problems, and issue s in machine learning in data science and analytics. The role of machine learning in data science and analytics is significantly increasing in every field from engineering to life...

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Bibliographic Details
Main Author: Azlinah Mohamed (Author, Editor)
Other Authors: Berry, Michael W. (Editor), Wah, Yap Bee (Editor)
Format: Book
Language:English
Published: Singapore Springer 2017
Series:Communications in computer and information science
Subjects:
Online Access:Click Here to View Status and Holdings.
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Summary:SCDS 2017 provided a platform for discussions on leading-edge methods and also addressed challenges, problems, and issue s in machine learning in data science and analytics. The role of machine learning in data science and analytics is significantly increasing in every field from engineering to life sciences and with advanced computer algorithms, solutions for complex real problem can be simplified.
Item Description:International conference proceedings
Waqf Collection: Prof Emeritus Dato' Dr. Hassan Said
Physical Description:xv, 317 pages illustrations
Bibliography:Includes bibliographical references (pages 2316) and index
ISBN:9789811072413
ISSN:1865-0929