Proceedings of Data Analytics and Management ICDAM 2023, Volume 1 /

Xehetasun bibliografikoak
Erakunde egilea:	SpringerLink (Online service)
Beste egile batzuk:	Swaroop, Abhishek (Argitaratzailea), Polkowski, Zdzislaw (Argitaratzailea), Correia, Sérgio Duarte (Argitaratzailea), Virdee, Bal (Argitaratzailea)
Gaia:	XXVI, 695 p. 284 illus., 221 illus. in color. text
Hizkuntza:	ingelesa
Argitaratua:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edizioa:	1st ed. 2024.
Saila:	Lecture Notes in Networks and Systems, 785
Gaiak:	Computational intelligence. Telecommunication. Quantitative research. Data protection. Computational Intelligence. Communications Engineering, Networks. Data Analysis and Big Data. Data and Information Security.
Sarrera elektronikoa:	https://doi.org/10.1007/978-981-99-6544-1
Formatua:	Baliabide elektronikoa Liburua

Aurkibidea:

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.

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