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Intelligent Information and Database Systems 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15–18, 2024, Proceedings, Part I

Aus der Reihe Lecture Notes in Computer Science
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71,99 € UVP 80,24 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.07.2024

Abbildungen

XXVIII, 321 p. 96 illus., 80 illus. in color.

Herausgeber

Ngoc Thanh Nguyen + weitere

Verlag

Springer Singapore

Seitenzahl

321

Maße (L/B/H)

23,5/15,5/2 cm

Gewicht

534 g

Auflage

2024

Sprache

Englisch

ISBN

978-981-9749-81-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.07.2024

Abbildungen

XXVIII, 321 p. 96 illus., 80 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

321

Maße (L/B/H)

23,5/15,5/2 cm

Gewicht

534 g

Auflage

2024

Sprache

Englisch

ISBN

978-981-9749-81-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Intelligent Information and Database Systems
  • Produktbild: Intelligent Information and Database Systems

  • .- 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.