Data Analytics, Computational Statistics, and Operations Research for Engineers : Methodologies and Applications Hardback
Edited by Debabrata (CHRIST (Deemed to be University), Bengaluru) Samanta, SK Hafizul (Indian Institute of Information Technology Kalyani) Islam, Naveen (La Trobe University, Melbourne) Chilamkurti, Mohammad (Manchester Metropolitan University) Hammoudeh
Hardback
Description
With the rapidly advancing fields of Data Analytics and Computational Statistics, it’s important to keep up with current trends, methodologies, and applications.
This book investigates the role of data mining in computational statistics for machine learning.
It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.
Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models.
It discusses how data mining extracts information and how machine learning improves the computational model based on the new information.
Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.
Information
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Out of stock
- Format:Hardback
- Pages:274 pages, 22 Tables, black and white; 50 Line drawings, black and white; 10 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:25/03/2022
- Category:
- ISBN:9780367715113
Information
-
Out of stock
- Format:Hardback
- Pages:274 pages, 22 Tables, black and white; 50 Line drawings, black and white; 10 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:25/03/2022
- Category:
- ISBN:9780367715113
