Recent Challenges in Intelligent Information and Database Systems: 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings

Music Emotion Recognition Based on Term Frequency and Pattern Entropy.- Risk Assessment of Acute Kidney Disease and Chronic Kidney Disease for in-Hospital Patients with Acute Kidney Injury.- A multi-label classification framework using the covering based decision table.- Identifying non-intuitive Relationships within Returns Data of a Furniture Online-Shop using Temporal Data Mining.- Forecasting cryptocurrency price fluctuations with Granger causality analysis.- Predicting metastasis-free survival using clinical data in non-small cell lung cancer.- Utility Driven Job Selection Problem on Road Networks.- Analysis of dynamics of emergence and decline of scientic ideas based on optimistic and pessimistic fuzzy aggregation norms.- Data-driven Resilient Supply Management Supported by Demand Forecasting.- Hybrid Boustrophedon and Partition Tree Group Algorithm for Coverage Path Planning Problem with Energy Constraints.- CRITICAL FACTORS OF  CUSTOMERS LOYALTY IN E-COMMERCE .- Improving Autoencoders Performance for Hyperspectral Unmixing using Clustering.- Gated 3D-CNN for Action Recognition.- DACE: Did I catch you at a good time?.- DeepDream algorithm for data augmentation in a neural network ensemble applied to multiclass image classification.- Clinically-relevant summarisation of cataract surgery videos using deep learning.- En-SeqGAN: An Efficient Sequence Generation Model for Deceiving URL Classifiers.- Keyword Extraction from Short Texts with a Text-To-Text Transfer Transformer.- Expandable-Convolutional-Block Neural Inference with Spatial-Fused Multi-Resolution Features and Terse Convolution for IoT-based Intelligent Automated Systems.- Traffic management in Smart City.- Door-to-door sampling service with drone.- Design of IoT based Patient Health Monitoring System.- A Novel Integrating Approach Between Graph Neural Network and Complex Representation for Link Prediction in Knowledge Graph.- Schema formalism for semantic summary based on labeled graph from heterogeneous data.- Agent Based Model of Elementary School Group Learning.- Automated late fusion of low level descriptors for feature extraction and texture classification using data augmentation.- LDA+: An Extended LDA Model for Topic Hierarchy and Discovery.- P-FCloHUS: A Parallel Approach For Mining Frequent Closed High-Utility Sequences On Multi-core Processors.- Auto Machine Learning-Based Approach for Source Printer Identification.- Machine Learning to Diagnose Neurodegenerative Multiple Sclerosis Disease.- Supervised learning use to acquire knowledge from 2D analytic geometry problems.- Predictive modelling of diseases based on a network and machine learning approach.- Individual Source Camera Identification with Convolutional Neural Networks.- dMITP-Miner: An Efficient Method for Mining Maximal  Inter-transaction Patterns