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Proceedings of data analytics and management = ICDAM 2023.. Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of data analytics and management/ edited by Abhishek Swaroop ... [et al.].
Reminder of title:	ICDAM 2023.
remainder title:	ICDAM 2023
other author:	Swaroop, Abhishek.
corporate name:	International Conference on Data Analytics and Management
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xxvi, 695 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Chapter 1: Diagnosis of Parkinson disease using Ensemble methods for Class Imbalance Problem -- Chapter 2: A Comparative Analysis of Pneumonia Detection Using Chest X-Rays With DNN -- Chapter 3: Machine Learning Based Binary Sentiment Classification of Movie Reviews in Hindi (Devanagari Script) -- Chapter 4: Deep Learning-Based Recommendation Systems: Review and Critical Analysis -- Chapter 5: Retention in Second Year Computing Students in a London-Based University During The Post-Covid-19 Era Using Learned Optimism as a Lens: A Statistical Analysis in R -- Chapter 6: Alzheimer's Disease Knowledge Graph Based on Ontology and Neo4j Graph Database -- Chapter 7: Forecasting Bitcoin Prices in the Context of the COVID19 Pandemic Using Machine Learning Approaches -- Chapter 8: Online Food Delivery Customer Churn Prediction: A Quantitative Analysis on the Performance of Machine Learning Classifiers -- Chapter 9: Prevention Equipment for COVID-19 Spread Using IoT and Multimedia-Based Solutions -- Chapter 10: Renal Disease Classification using Image Processing. etc.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-99-6544-1
ISBN:	9789819965441

Proceedings of data analytics and management = ICDAM 2023.. Volume 1 /
Proceedings of data analytics and managementICDAM 2023.Volume 1 /[electronic resource] :ICDAM 2023edited by Abhishek Swaroop ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xxvi, 695 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 7852367-3389 ;. - Lecture notes in networks and systems ;v. 785..

Chapter 1: Diagnosis of Parkinson disease using Ensemble methods for Class Imbalance Problem -- Chapter 2: A Comparative Analysis of Pneumonia Detection Using Chest X-Rays With DNN -- Chapter 3: Machine Learning Based Binary Sentiment Classification of Movie Reviews in Hindi (Devanagari Script) -- Chapter 4: Deep Learning-Based Recommendation Systems: Review and Critical Analysis -- Chapter 5: Retention in Second Year Computing Students in a London-Based University During The Post-Covid-19 Era Using Learned Optimism as a Lens: A Statistical Analysis in R -- Chapter 6: Alzheimer's Disease Knowledge Graph Based on Ontology and Neo4j Graph Database -- Chapter 7: Forecasting Bitcoin Prices in the Context of the COVID19 Pandemic Using Machine Learning Approaches -- Chapter 8: Online Food Delivery Customer Churn Prediction: A Quantitative Analysis on the Performance of Machine Learning Classifiers -- Chapter 9: Prevention Equipment for COVID-19 Spread Using IoT and Multimedia-Based Solutions -- Chapter 10: Renal Disease Classification using Image Processing. etc.

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.

ISBN: 9789819965441

Standard No.: 10.1007/978-981-99-6544-1doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342 / .I58 2023

Dewey Class. No.: 006.3

Proceedings of data analytics and management = ICDAM 2023.. Volume 1 /
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505 0 $a Chapter 1: Diagnosis of Parkinson disease using Ensemble methods for Class Imbalance Problem -- Chapter 2: A Comparative Analysis of Pneumonia Detection Using Chest X-Rays With DNN -- Chapter 3: Machine Learning Based Binary Sentiment Classification of Movie Reviews in Hindi (Devanagari Script) -- Chapter 4: Deep Learning-Based Recommendation Systems: Review and Critical Analysis -- Chapter 5: Retention in Second Year Computing Students in a London-Based University During The Post-Covid-19 Era Using Learned Optimism as a Lens: A Statistical Analysis in R -- Chapter 6: Alzheimer's Disease Knowledge Graph Based on Ontology and Neo4j Graph Database -- Chapter 7: Forecasting Bitcoin Prices in the Context of the COVID19 Pandemic Using Machine Learning Approaches -- Chapter 8: Online Food Delivery Customer Churn Prediction: A Quantitative Analysis on the Performance of Machine Learning Classifiers -- Chapter 9: Prevention Equipment for COVID-19 Spread Using IoT and Multimedia-Based Solutions -- Chapter 10: Renal Disease Classification using Image Processing. etc.
520 $a This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.
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