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Computational intelligence in data m...

Nayak, Janmenjoy.

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Computational intelligence in data mining = proceedings of ICCIDM 2021 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence in data mining/ edited by Janmenjoy Nayak ... [et al.].
Reminder of title:	proceedings of ICCIDM 2021 /
remainder title:	ICCIDM 2021
other author:	Nayak, Janmenjoy.
corporate name:	International Conference on Computational Intelligence in Data Mining
Published:	Singapore :Springer Nature Singapore : : 2022.,
Description:	xxvi, 764 p. :ill., digital ;24 cm.
[NT 15003449]:	Multi-sensor data fusion for Occupancy detection using Dempster-Shafer Theory -- Sentiment Analysis: A Recent Survey with Applications and a Proposed Ensemble Algorithm -- An Automated System for Facial Mask Detection and Social Distancing During Covid - 19 Pandemic -- Detection of Insider Threats Using Deep Learning: A Review -- An Incisive analysis of Advanced Persistent Threat detection using Machine learning Techniques -- Intelligent Computing Systems For Diagnosing Plant Diseases -- Multimodal MRI Analysis for Segmentation of Intra-tumoral Regions of High-Grade Glioma using VNet and WNet based deep models -- Early Onset Alzheimer Disease Classification using Convolution Neural Network.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-16-9447-9
ISBN:	9789811694479

Computational intelligence in data mining = proceedings of ICCIDM 2021 /
Computational intelligence in data miningproceedings of ICCIDM 2021 /[electronic resource] :ICCIDM 2021edited by Janmenjoy Nayak ... [et al.]. - Singapore :Springer Nature Singapore :2022. - xxvi, 764 p. :ill., digital ;24 cm. - Smart innovation, systems and technologies,v. 2812190-3026 ;. - Smart innovation, systems and technologies ;v. 281..

Multi-sensor data fusion for Occupancy detection using Dempster-Shafer Theory -- Sentiment Analysis: A Recent Survey with Applications and a Proposed Ensemble Algorithm -- An Automated System for Facial Mask Detection and Social Distancing During Covid - 19 Pandemic -- Detection of Insider Threats Using Deep Learning: A Review -- An Incisive analysis of Advanced Persistent Threat detection using Machine learning Techniques -- Intelligent Computing Systems For Diagnosing Plant Diseases -- Multimodal MRI Analysis for Segmentation of Intra-tumoral Regions of High-Grade Glioma using VNet and WNet based deep models -- Early Onset Alzheimer Disease Classification using Convolution Neural Network.

This book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book is a collection of high-quality peer-reviewed research papers presented in the Sixth International Conference on Computational Intelligence in Data Mining (ICCIDM 2021) held at Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India, during December 11-12, 2021. The book addresses the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.

ISBN: 9789811694479

Standard No.: 10.1007/978-981-16-9447-9doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342 / .I57 2021

Dewey Class. No.: 006.3

Computational intelligence in data mining = proceedings of ICCIDM 2021 /
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