Intelligent Information and Database Systems : 13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021, Proceedings /

This book constitutes the refereed proceedings of the 13th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2021, held in Phuket, Thailand, in April 2021.* The 67 full papers accepted for publication in these proceedings were carefully reviewed and selected from 291 submissio...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Nguyen, Ngoc Thanh (Editor), Chittayasothorn, Suphamit (Editor), Niyato, Dusit (Editor), Trawiński, Bogdan (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Lecture Notes in Artificial Intelligence ; 12672
Subjects:	Artificial intelligence. Application software. Optical data processing. Data mining. Artificial Intelligence. Information Systems Applications (incl. Internet). Image Processing and Computer Vision. Data Mining and Knowledge Discovery. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Data Mining Methods and Applications
Mining Partially-Ordered Episode Rules in an Event Sequence
Investigating Crossover Operators in Genetic Algorithms for High-Utility Itemset Mining
Complexes of low dimensional linear classifiers with L1 margins
Automatic Identification of Bird Species from Audio
Session based recommendations using Recurrent neural networks - Long short-term memory
UVDS: A New Dataset for Tra c Forecasting with Spatial-Temporal Correlation
A Parallelized Frequent Temporal Pattern Mining Algorithm on a Time Series Database
An efficient approach for mining high-utility itemsets from multiple abstraction levels
Mining Class Association Rules on dataset with missing data
Machine Learning Methods
Clustering Count Data with Stochastic Expectation Propagation
Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model
Mixture-Based Unsupervised Learning for Positive Correlated Count Data
Phase Prediction of Multi-principal Element Alloys Using Support Vector Machine and Bayesian optimization
VEGAS: A variable length-based Genetic Algorithm for ensemble selection in deep ensemble learning
Demand Forecasting for Textile Products using Statistical Analysis and Machine Learning Algorithms
Parallelization of Reinforcement Learning Algorithms for Video Games
Decision Support and Control Systems
A Gap-based Memetic Differential Evolution (GaMeDE) applied to multi-modal optimisation - using multi-objective optimization concepts
Simulating Emergency Departments Using Generalized Petri Nets
What do you know about your network: an empirical study of value network awareness in e-commerce
A robust approach to employee competences in project management
Key Aspects of Customer Intelligence in the Era of Massive Data
How Spatial Data Analysis Can Make Smart Lighting Smarter
Natural Language Processing
Convolutional Neural Networks for Web Documents Classification
Sequential model-based optimization for Natural Language Processing Data Pipeline Selection and Optimization
Automatic Cyberbullying Detection on Twitter Using Bullying Expression Dictionary
Development of Morphological Segmentation for the Kyrgyz Language on Complete Set of Endings
Tweets Topic Classification using Transformer-based Language Models
A New Approach for Measuring the Influence of Users on Twitter
Building a Domain Specific Knowledge Graph for Business Networking Analysis
Cybersecurity Intelligent Methods
N-tier machine learning-based architecture for DDoS attack detection
Detection of Distributed Denial of Service Attacks using Automatic Feature Selection with Enhancement for Imbalance Dataset
AntiPhiMBS: A New Anti-Phishing Model to Mitigate Phishing Attacks in Mobile Banking System at Application Level
Missing/Incomplete Data Handling in Cybersecurity Applications
An Experimental Study of Machine Learning for Phishing Detection
Computer Vision Techniques
Model for Application of Optical Passive SFM Method in Reconstruction of 3D Space and Objects
Ground plane estimation for obstacle avoidance during fixed-wing UAV landing
UAV on-board emergency safe landing spot detection system combining classical and deep learning-based segmentation methods
Wasserstein Generative Adversarial Networks for Realistic Traffic Sign Image Generation
An Approach to Automatic Detection of Architectural Fa cades in Spherical Images
Computational Imaging and Vision
Real-time Multi-view Face Masks Detector on Edge Device For Supporting Service Robots in the COVID-19 Pandemic
Eye State Recognizer Using Light-weight Architecture for Drowsiness Warning
NovemE - Color Space Net for Image Classification
Application of Improved YOLOv3 Algorithm in Mask Recognition
Simulation and Experiment in Solving Inverse Kinematic for Human Upper Limb by Using Optimization Algorithm
Word Segmentation for Gujarati Handwritten Documents
Advanced Data Mining Techniques and Applications
A SPEA-based Group Trading Strategy Portfolio Optimization Algorithm
Develop a Hybrid Human Face Recognition System Based on a Dual Deep Neural Network by Interactive Correction Training
Forecasting Stock Trend Based on the Constructed Anomaly-Patterns based Decision Tree
A Transparently-Secure and Robust Internetworking Data Retrieval Framework for Financial-Technology Applications
Comparison of Machine Learning Methods for Life Trajectory Analysis in Demography
An Efficient Method for Multi-Request Route Search
Machine Learning Model for the Classification of Musical Composition Genres
Intelligent and Contextual Systems
Emotional Piano Melodies Generation using Long Short-Term Memory
SE-U-Net: Contextual Segmentation by Loosely Coupled Deep Networks for Medical Imaging Industry
Contextual Soft Dropout Method in Training of Artificial Neural Networks
Bone Age Assessment by means of Intelligent Approaches
Random Number Generators in Training of Contextual Neural Networks
The Impact of Aggregation Window Width on Properties of Contextual Neural Networks with Constant Field of Attention
Towards Layer-wise Optimization of Contextual Neural Networks with Constant Field of Aggregation
Commonsense Knowledge, Reasoning and Programming in Artificial Intelligence
Community Detection in Complex Networks: A Survey on Local Approaches
A Q-Learning based Hyper-Heuristic for Generating Efficient UAV Swarming Behaviours
Cross-Domain Co-Author Recommendation Based on Knowledge Graph Clustering
Data Modelling and Processing for Industry 4.0
Trident: Change Point Detection for Multivariate Time Series via Dual-level Attention Learning
Facial Representation Extraction by Mutual Information Maximization and Correlation Minimization
Localization system for wheeled vehicles operating in underground mine based on inertial data and spatial intersection points of mining excavations
Innovations in Intelligent Systems
Evaluating mutation operator and test case effectiveness by means of mutation testing
Usability Study of Mobile Applications with Cognitive Load Resulting from Environmental Factors.