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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1343660769
Titel Advances in Artificial Intelligence and Machine Learning in Big Data Processing : First International Conference, AAIMB 2023, Chennai, India, August 17–18, 2023, Proceedings, Part-II / edited by R. Geetha, Nhu-Ngoc Dao, Saeed Khalid
Person(en) Geetha, R. (Herausgeber)
Dao, Nhu-Ngoc (Herausgeber)
Saeed, Khalid (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2025
Verlag Cham : Springer Nature Switzerland, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2025
Umfang/Format Online-Ressource, XVII, 329 p. 166 illus., 125 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-3-031-73067-2
Printed edition:: ISBN: 978-3-031-73069-6
Inhalt -- 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
Persistent Identifier URN: urn:nbn:de:101:1-2410010532435.163006559187
DOI: 10.1007/978-3-031-73068-9
URL https://doi.org/10.1007/978-3-031-73068-9
ISBN/Einband/Preis 978-3-031-73068-9
Sprache(n) Englisch (eng)
Beziehungen Communications in Computer and Information Science ; 2203
DDC-Notation 006.3 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 004 Informatik

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