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Advances in artificial intelligence and machine learning in big data processingfirst international conference, AAIMB 2023, Chennai, India, August 17-18, 2023, proceedings.Part-II /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in artificial intelligence and machine learning in big data processingedited by R. Geetha, Nhu-Ngoc Dao, Saeed Khalid.
其他題名:	first international conference, AAIMB 2023, Chennai, India, August 17-18, 2023, proceedings.
其他題名:	AAIMB 2023
其他作者:	Geetha, R.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xvii, 329 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence.
電子資源:	https://doi.org/10.1007/978-3-031-73068-9
ISBN:	9783031730689$q(electronic bk.)

Advances in artificial intelligence and machine learning in big data processingfirst international conference, AAIMB 2023, Chennai, India, August 17-18, 2023, proceedings.Part-II /
Advances in artificial intelligence and machine learning in big data processingfirst international conference, AAIMB 2023, Chennai, India, August 17-18, 2023, proceedings.Part-II /[electronic resource] :AAIMB 2023edited by R. Geetha, Nhu-Ngoc Dao, Saeed Khalid. - Cham :Springer Nature Switzerland :2025. - xvii, 329 p. :ill., digital ;24 cm. - Communications in computer and information science,22031865-0937 ;. - Communications in computer and information science ;229..

-- Artificial Intelligence and Data Analytics. -- Feature Fusion Based Bayesian model detection in the prognosis of glioma - A Survey. -- AI Voice Assistant Using Python. -- Research Output on Artificial Intelligence in India: A Scientometric study. -- Analyzing Hand Gestures using Object Detection and Processing it into Local Language. -- A Review of an Automated Model for Sexist Language Detection and Replacement of Sexist Terms. -- Machine Learning. -- Detection of DoS Attack using Machine learning in Software Defined Network. -- Regression Model Approach towards Concrete Compressive Strength Prediction and Evaluation. -- An Enhanced Artificial Neural Network Model for type 2 Diabetes Classification 84 using SMOTE and SMOTETomek with Effective Feature Selection Methods. -- Machine Learning based Traffic Congestion and Accident Prevention Analysis. -- A Comparative Evaluation of Machine Learning Methods for Predicting Chronic Kidney Disease. -- Detecting Implicit Aspects of Customer Experience in the Hotel Industry Using a Machine Learning Algorithm. -- Vehicle Insurance Claim Prediction. -- Ensemble Learning Models for Detecting Spam Over Social Networks Using RFE. -- An Intelligent Machine Learning Framework for Melanoma Classification System: A Critique. -- Online Network Intrusion Detection System for IOT structure using Machine Learning Techniques. -- An Analysis of Machine Learning Tools and Algorithms. -- Ensemble Learning-Based Android Malware Detection. -- Handling Imbalanced Data for Credit Card Fraudulent Detection: A Machine Learning Approach. -- An Enhanced Learning Model Based on an Improved Random Forest Classifier and an Integrated Attribute Selector for Healthcare Datasets. -- Engineering Open Access Research Analysis of Machine Learning Publications in India. -- Optimizing Coronary Illness Prediction Using Hyperparameter Tuning Through Machine Learning. -- Detection and Classification of Intracranial Tumor in Machine Learning using Fuzzy C-Means Algorithm. -- A survey of Anomaly Detection in Video Surveillance. -- Prediction and comparison of ML Algorithm for Heart Disease. -- Comparative Analysis of Classifiers for Chat Classification: A Study on Random Forest, Support Vector Machine and Multinomial Naive Bayes with Bag of Words and TF-IDF.

This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17-18, 2023. The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections: Part I- artificial intelligence and data analytics; deep learning. Part II- artificial intelligence and data analytics; machine learning.

ISBN: 9783031730689$q(electronic bk.)

Standard No.: 10.1007/978-3-031-73068-9doiSubjects--Topical Terms:

275408
Artificial intelligence.

LC Class. No.: Q334

Dewey Class. No.: 006.3

Advances in artificial intelligence and machine learning in big data processingfirst international conference, AAIMB 2023, Chennai, India, August 17-18, 2023, proceedings.Part-II /
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