Description: This book serves as a reference book for scientific investigators who need to analyze disease data and/or numerical data, as well as researchers developing methodology in soft computing field. It may also be used as a textbook for a graduate and post graduate level course in machine learning or soft computing.
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Title: Soft Computing Techniques For Type-2 Diabetes Data Classificatio
Weight: 539
EAN: 9780367236540
ISBN-10: 9780367236540
Date of Publication: 2020-07
Place of Publication: 2020-07
Book Series: Chapman And Hall/CRC
Genre: COMPUTERS / Computer Science
Narrative Type: N/A
Features: N/A
Intended Audience: N/A
Ex Libris: No
Editor: N/A
Edition: N/A
Pagination: 170
Dimensions: 921x614
Number of Pages: 152 Pages
Publication Name: Soft Computing Techniques for Type-2 Diabetes Data Classification
Language: English
Publisher: Taylor & Francis LTD
Item Height: 234 mm
Subject: Medicine, Computer Science
Publication Year: 2020
Type: Textbook
Item Weight: 454 g
Author: Venkatanareshbabu Kuppili, Ramalingaswamy Cheruku, Damodar Reddy Edla
Item Width: 156 mm
Format: Hardcover
