Tools

LEADER 03245nam 2200481 i 4500

001 ssj0002544043;

003 WaSeSS;

005 20251212090320.0;

006 m d ;

007 cr n ;

008 210922t20222022flu sb 001 0 eng d;

010 a| 2021046714;

020 a| 9781003152392q| (ebk);

020 z| 9780367715113q| (hbk);

020 z| 9780367715120q| (pbk);

035 a| (WaSeSS)ssj0002544043;

042 a| pcc;

049 a| EREEa| NEHH;

050 00 a| TA345;

082 00 a| 620.001/512| 23/eng/20211118;

245 00 a| Data analytics, computational statistics, and operations research for engineersh| [electronic resource] :b| methodologies and applications /c| edited by Debabrata Samanta, SK Hafizul Islam, Naveen Chilamkurti, and Mohammad Hammoudeh.;

250 a| First edition.;

260 a| Boca Raton :b| CRC Press, Taylor & Francis Group,c| 2022.;

300 a| 1 online resource;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 a| "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"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

588 a| Description based on print version record.;

650 0 a| Engineeringx| Data processing.=| ^A90441;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Samanta, Debabrata,d| 1987-?| UNAUTHORIZED;

776 08 i| Print version:t| Data analytics, computational statistics, and operations research for engineersb| First edition.d| Boca Raton, FL : CRC Press, [2022]z| 9780367715113w| (DLC) 2021046713;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003152392;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 6662819;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6662819-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6662819-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 12/19/2025x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6662819-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

Data analytics, computational statistics, and operations research for engineers methodologies and applications / edited by Debabrata Samanta, SK Hafizul Islam, Naveen Chilamkurti, and Mohammad Hammoudeh.

Other author	Samanta, Debabrata, 1987-
Format	Electronic
Edition	First edition.
Publication Info	Boca Raton : CRC Press, Taylor & Francis Group, 2022.
Description	1 online resource
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Engineering--Data processing.

Abstract	"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"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Source of description	Description based on print version record.
Issued in other form	Print version: Data analytics, computational statistics, and operations research for engineers First edition. Boca Raton, FL : CRC Press, [2022] 9780367715113
Genre/form	Electronic books.
LCCN	2021046714
ISBN	9781003152392 (ebk)
ISBN	(hbk)
ISBN	(pbk)

Availability

Library	Location	Call Number	Status	Item Actions
	Electronic Resources	Access Content Online	✔ Available

Data analytics, computational statistics, and operations research for engineers methodologies and applications / edited by Debabrata Samanta, SK Hafizul Islam, Naveen Chilamkurti, and Mohammad Hammoudeh.

Click here for more information about this title

Availability