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Data science and securityproceedings of IDSCS 2024.Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science and securityedited by Samiksha Shukla ... [et al.].
Reminder of title:	proceedings of IDSCS 2024.
remainder title:	IDSCS 2024
other author:	Shukla, Samiksha.
corporate name:
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xii, 376 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data miningCongresses.
Online resource:	https://doi.org/10.1007/978-981-96-4883-2
ISBN:	9789819648832$q(electronic bk.)

Data science and securityproceedings of IDSCS 2024.Volume 2 /
Data science and securityproceedings of IDSCS 2024.Volume 2 /[electronic resource] :IDSCS 2024edited by Samiksha Shukla ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xii, 376 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in networks and systems,v. 13552367-3389 ;. - Lecture notes in networks and systems ;v.1..

Microsatellite Magnetic Cleanliness Based on Geometric Inverse Magneto Static Problem Solution -- An Intelligent Spam Email Detection System using Machine Learning -- Design and Development of Sustainable Apiculture Monitoring System by using AI&ML -- Leveraging Agentic Rag to Improve Contextual Understanding and Reduce Hallucinations in Large Language Models -- American Sign Language Recognition Using Yolo-Nas.

This book presents best-selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2024), hosted by Christ (Deemed to be University), India, and technically sponsored by The Tejas Scientific Researcher Foundation, India, from 08-09 November, 2024. The book targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.

ISBN: 9789819648832$q(electronic bk.)

Standard No.: 10.1007/978-981-96-4883-2doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343 / I58 2024

Dewey Class. No.: 006.312

Data science and securityproceedings of IDSCS 2024.Volume 2 /
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