Computational intelligence in data mining : proceedings of ICCIDM 2021

Computational intelligence in data mining : proceedings of ICCIDM 2021 / Janmenjoy Nayak, H.S. Behera, Bighnaraj Naik, S. Vimal, Danilo Pelusi, editors.

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...

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Bibliographic Details
Corporate Author: International Conference on Computational Intelligence in Data Mining Online
Other Authors: Nayak, Janmenjoy (Editor), Behera, Himansu Sekhar (Editor), Naik, Bighnaraj (Editor), Vimal, S., 1984- (Editor), Pelusi, Danilo (Editor)
Format: eBook
Language:English
Published: Singapore : Springer, 2022.
Series:Smart innovation, systems, and technologies ; 281.
Subjects:
Computational intelligence > Congresses.
Data mining > Congresses.
Computational intelligence
Data mining
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • 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.

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