Intelligent Information and Database Systems

16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15¿18, 2024, Proceedings, Part I
Herausgegeben:Nguyen, Ngoc Thanh; Chbeir, Richard; Manolopoulos, Yannis; Fujita, Hamido; Hong, Tzung-Pei; Nguyen, Le Minh; Wojtkiewicz, Krystian

• Broschiertes Buch

Produktbeschreibung

This two-volume set constitutes the refereed proceedings of the 16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, held in Ras Al Khaimah, UAE, during April 15-18, 2024.

The 57 full papers presented in these proceedings were carefully reviewed and selected from 251 submissions. The papers of the 2 volume-set are organized in the following topical sections:

Part I: advanced data analysis methods; AI-driven cybersecurity and medical solutions; application of generative models; computational intelligence.

Part II: data modelling and smart information systems; image and video processing; machine learning algorithms in theory and practice; prediction and recommendation systems; text, speech and natural language processing.

Produktdetails

• Lecture Notes in Computer Science 14795
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-4981-2
• 2024
• Seitenzahl: 352
• Erscheinungstermin: 16. Juli 2024
• Englisch
• Abmessung: 235mm x 155mm x 20mm
• Gewicht: 534g
• ISBN-13: 9789819749812
• ISBN-10: 9819749816
• Artikelnr.: 70896635

Inhaltsangabe

.- Advanced Data Analysis Methods.

.- Continual AE-WGAN for Unsupervised Anomaly Detection in Streaming Data.

.- Energy Measurement System for Data Lake: An Initial Approach.

.- CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction.

.- Stochastic approaches for criteria weight identification in multi-criteria decision analysis.

.- Exploring Data Preparation Modules by Examples.

.- A novel approach to the use of explainability to mine network intrusion detection rules`.

.- AI-driven Cybersecurity And Medical Solutions.

.- IDRF: An Improved Dynamic Random Forest Approach for Blockchain Time Series Data Classification.

.- Oral Diseases Recognition Based on Photographic Images and Dental Decay Diagnosis.

.- Multifaceted ECG Feature Extraction for AFIB Detection: Using Traditional Machine Learning Techniques.

.- Automation of the analysis of medical interviews to improve diagnoses using NLP for medicine.

.- Application of Generative Models.

.- FramedTruth: A Frame-based Model Utilising Large Language Models for Misinformation Detection.

.- Named Entity Recognition Model for Polish Books.

.- Building the ArabNER Corpus for Arabic Named Entity Recognition Using ChatGPT and Bard.

.- Professionally Diverse: AI-Generated Faces for Targeted Advertising.

.- Optimizing Neural Topic Modelling Pipelines for Low-quality Speech Transcriptions.

.- OrphaGPT : An Adapted Large Language Model for Orphan Diseases Classification.

.- Computational Intelligence.

.- A Novel Dynamic Programming Method for Non-Parametric Data Discretization.

.- Framework to Merge Possibilistic Belief Bases.

.- Game-theory Based Voting Schemas for Ensemble of Classifiers.

.- RECALL: Towards Generalized Representations in Unsupervised Federated Learning under Non-IID Conditions.

.- Predicting Epidemic Outbreak using Climatic factors.

.- A novel approach utilizing local criteria weights for multi-criteria evaluation within the SPOTIS method.

.- Masked Face-Landmark Prediction with Mask-Coefficient.

.- Federated Erasable-itemset Mining with Quasi-erasable Itemsets.

.- An Optimization Approach for Finding Diverse Trading Strategy Portfolio Using the Memetic Algorithm.

.- Advanced Data Analysis Methods.

.- Continual AE-WGAN for Unsupervised Anomaly Detection in Streaming Data.

.- Energy Measurement System for Data Lake: An Initial Approach.

.- CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction.

.- Stochastic approaches for criteria weight identification in multi-criteria decision analysis.

.- Exploring Data Preparation Modules by Examples.

.- A novel approach to the use of explainability to mine network intrusion detection rules`.

.- AI-driven Cybersecurity And Medical Solutions.

.- IDRF: An Improved Dynamic Random Forest Approach for Blockchain Time Series Data Classification.

.- Oral Diseases Recognition Based on Photographic Images and Dental Decay Diagnosis.

.- Multifaceted ECG Feature Extraction for AFIB Detection: Using Traditional Machine Learning Techniques.

.- Automation of the analysis of medical interviews to improve diagnoses using NLP for medicine.

.- Application of Generative Models.

.- FramedTruth: A Frame-based Model Utilising Large Language Models for Misinformation Detection.

.- Named Entity Recognition Model for Polish Books.

.- Building the ArabNER Corpus for Arabic Named Entity Recognition Using ChatGPT and Bard.

.- Professionally Diverse: AI-Generated Faces for Targeted Advertising.

.- Optimizing Neural Topic Modelling Pipelines for Low-quality Speech Transcriptions.

.- OrphaGPT : An Adapted Large Language Model for Orphan Diseases Classification.

.- Computational Intelligence.

.- A Novel Dynamic Programming Method for Non-Parametric Data Discretization.

.- Framework to Merge Possibilistic Belief Bases.

.- Game-theory Based Voting Schemas for Ensemble of Classifiers.

.- RECALL: Towards Generalized Representations in Unsupervised Federated Learning under Non-IID Conditions.

.- Predicting Epidemic Outbreak using Climatic factors.

.- A novel approach utilizing local criteria weights for multi-criteria evaluation within the SPOTIS method.

.- Masked Face-Landmark Prediction with Mask-Coefficient.

.- Federated Erasable-itemset Mining with Quasi-erasable Itemsets.

.- An Optimization Approach for Finding Diverse Trading Strategy Portfolio Using the Memetic Algorithm.