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Data mining and information securityproceedings of ICDMIS 2024.Volume 5 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data mining and information securityedited by Soumi Dutta ... [et al.].
Reminder of title:	proceedings of ICDMIS 2024.
remainder title:	ICDMIS 2024
other author:	Dutta, Soumi.
corporate name:
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xviii, 612 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data miningCongresses.
Online resource:	https://doi.org/10.1007/978-981-96-6066-7
ISBN:	9789819660667$q(electronic bk.)

Data mining and information securityproceedings of ICDMIS 2024.Volume 5 /
Data mining and information securityproceedings of ICDMIS 2024.Volume 5 /[electronic resource] :ICDMIS 2024edited by Soumi Dutta ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xviii, 612 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in networks and systems,v. 13892367-3389 ;. - Lecture notes in networks and systems ;v.1..

Forecasting Future Stock Market Values Using Long-Term Memory Models and Sentiment Analysis -- Early Detection and Classification of Blight Diseases in Tomato and Potato Leaf Using Deep Convolution Neural Networks -- A Smartphone based Robust Model for Intelligent Prediction of Thyroid disease -- Analysis of leveraging machine learning and data analytics to predict Cardiac Disease -- Comparative Analysis of Machine Learning Algorithms for Early Sepsis Detection.

This book features research papers presented at the International Conference on Data Mining and Information Security (ICDMIS 2024) held at Eminent College of Management and Technology (ECMT), West Bengal, India, during October 7-8, 2024. The book is organized in five volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.

ISBN: 9789819660667$q(electronic bk.)

Standard No.: 10.1007/978-981-96-6066-7doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

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