This two-volume proceedings, LNAI 15683 and LNAI 15684, constitutes the proceedings of the 17th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2025, held in Kitakyushu, Japan, during April 23-25, 2025. The 56 full papers and  presented in these two volumes were carefully reviewed and selected from 301 submissions. The papers are organized in the following topical sections: Part I: Data Mining, Processing and Integration; Deep Learning Methods and Applications; Generative Models Applications; Intelligent Information Systems and Problem-Solving Algorithms. Part II: Games and Decision Theories; Image Processing and Computer Vision; Intelligent Techniques in Optimization; Machine Learning Techniques and Applications.

Table of Contents:
.- Data Mining, Processing and Integration. .- Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems. .- A Hybrid Discovery Framework for USV Voyage Route Generation Using AIS Data. .- Proactive approach to personnel assignment in University Course Timetabling Problem. .- Improving Traffic Sign Detection Using Synthetic Data and Automatic Labeling. .- Unraveling Research Patterns in Quantum Computing Through Topic Modeling and Network Analysis. .- Mining Erasable Patterns Using the Bitmap Method in Quantitative Component Databases. .- Privacy Preserving Based on SHA Encryption and Cluster Analysis in Federated Frequent Itemset Mining. .- An Optimization Algorithm for Finding Extractive Summary from Multiple Source Documents Based on Association and Clustering. .- Improving Stress Detection with Synthetic Datasets: GPT-4o-mini and Transformer Model Evaluation. .- On Translating Association-Oriented Structures of Unified Process Metamodel into OWL. .- A Method for Evaluating Expressive Power and Semantic Capacity of Metamodel in Conceptual Data Modeling. .- Optimizing Task Estimation Accuracy in Agile Projects: A Data-Driven Study. .- Low Computational Aggregation Method for Time Series Forecasting. .- Information graphs in process analysis. .- Deep Learning Methods and Applications. .- ESM-VAE: Bias Reduction in EEG Models via Synthetic Data Generation with Variational Autoencoders. .- Chromatic Aberration Detection Using Fully Convolutional Networks. .- Contextual Statistical Evaluation of Selected CRISPR-Cas9 Recurrent Deep Learning Models Predicting Off-target Activities for K562 and Hek293 Cell Lines. .- CerMixer: An Efficient Model for Cervical Cancer Classification Based on Patching and Multi-Scale Depthwise Convolutional Fusion. .- Generative Models Applications. .- Prompts De-Biasing Augmentation to Mitigate Gender Stereotypes in Large Language Models. .- Automatic Creation of Multilingual Knowledge Graph with Large Language Models. .- Simulating Oxford-Style Debates with LLM-based Multi-Agent Systems. .- An empirical review of the effectiveness of different language processing approaches in Software Code Vulnerability Detection. .- Intelligent Information Systems and Problem-Solving Algorithms. .- Analysis of Artificial Intelligence Solutions in Offensive Cybersecurity Domains. .- Research on the Application of Large Language Models (LLM) for Improving Recruitment Efficiency and Accuracy. .- A Trading Strategy Portfolio Optimization Approach Based on Fuzzy Mean-semivariance Model Using Memetic Algorithm. .- Brain-Computer Interface Framework for Real-Time Application Adaptation. .- Jaccard Distance under Incompleteness.