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Intelligent Information and Database Systems
13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021, Proceedings
1 online resource (XXXI, 867 pages 334 illustrations, 248 illustrations in color.)
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 submissions. The papers of the first volume are organized in the following topical sections: data mining methods and applications; machine learning methods; decision support and control systems; natural language processing; cybersecurity intelligent methods; computer vision techniques; computational imaging and vision; advanced data mining techniques and applications; intelligent and contextual systems; commonsense knowledge, reasoning and programming in artificial intelligence; data modelling and processing for industry 4.0; innovations in intelligent systems. *The conference was held virtually.
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.
edited by Ngoc Thanh Nguyen, Suphamit Chittayasothorn, Dusit Niyato, Bogdan Trawiński.
Information Systems Applications (incl. Internet)
Lecture Notes in Artificial Intelligence ; 12672