{"product_id":"9783032020482","title":"Database and Expert Systems Applications : 36th International Conference, DEXA 2025, Bangkok, Thailand, August 25-27, 2025, Proceedings, Part I (Lecture Notes in Computer Science)","description":"\u003cp\u003eThe two-volume set LNCS 16046-16047 constitutes the proceedings of the 36th International Conference on Database and Expert Systems Applications, DEXA 2025, held in Bangkok, Thailand, in August 25 27, 2025.\n\u003c\/p\u003e\u003cp\u003eThe 35 full and 22 short papers presented in this set together with 3 invited talks were carefully reviewed and selected from 123 submissions. They were organized in topical sections as follows:\n\u003c\/p\u003e\u003cp\u003ePart I: Industrial Keynote; Invited Talks; Large Language Models; Data Quality; Machine Learning \/Artificial Intelligence Applications; Classification Techniques.\n\u003c\/p\u003e\u003cp\u003ePart II: Image Processing, Analytics, and Vision Systems; Recommender Techniques; Data Integration; Optimisation Methods; Graph Applications; Analytics; Security\/Privacy; Benchmarks and Surveys.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003e.- Industrial Keynote.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- From Data Silos to Data Mesh: A Case Study in Financial Data Architecture.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Invited Talk.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Blending Contextual Data with Heterogeneous Time Dimensions for Improved Time Series Analysis.\u003c\/p\u003e\u003cp\u003e.- A Hybrid Data Model to Support Transportation Analytics of Emergency Service Vehicles.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Large Language Models.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Automated Archival Descriptions with Federated Intelligence of LLMs.\u003c\/p\u003e\u003cp\u003e.- Entropy-Guided Probing for Predicting LLM Hallucinations with Knowledge Graph Features.\u003c\/p\u003e\u003cp\u003e.- Towards Automating RDF Extraction for Archaeological Knowledge Graphs with LLMs.\u003c\/p\u003e\u003cp\u003e.- Ontology-Based Forest Fire Management using Complex Event Processing and Large Language Models.\u003c\/p\u003e\u003cp\u003e.- Table Annotation Utilizing Large Language Model and Knowledge Graph.\u003c\/p\u003e\u003cp\u003e.- Improving Software Security Through a LLM-Based Vulnerability Detection Model.\u003c\/p\u003e\u003cp\u003e.- SysResolve: Study on In-Context LLM Generation of Resolution Scripts.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Data Quality.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- A Novel Unsupervised Anomaly Detection Method Based on TCN-LSTM-CMA Autoencoder.\u003c\/p\u003e\u003cp\u003e.- Behaviour modelling and Wayfinding Error Detection in Low Mountain Hiking.\u003c\/p\u003e\u003cp\u003e.- Explainable Time Series Anomaly Detection by Dynamic Mode Decomposition.\u003c\/p\u003e\u003cp\u003e.- Exploring Quantum Bootstrap Sampling for AQP Error Assessment: A Pilot Study.\u003c\/p\u003e\u003cp\u003e.- AI-Driven Semantic Data Quality Assessment and Scoring for Relational Databases.\u003c\/p\u003e\u003cp\u003e.- Network Anomaly Detection Using Gramian Angular Field Transformation and Vision Transformer.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Machine Learning \/Artificial Intelligence Applications.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Identifying Multimodal Sarcasm Based on Incongruous Knowledge Capturing and Contrastive Learning.\u003c\/p\u003e\u003cp\u003e.- Ensemble ToT and Its Application to Automatic Grading.\u003c\/p\u003e\u003cp\u003e.- Improving Prompt-based Learning Framework for Mental Health Aspect Detection from Social Media.\u003c\/p\u003e\u003cp\u003e.- DInos: A Deep Reinforcement Learning Approach to Generalizable Autoscaling in Stateless Cloud Applications.\u003c\/p\u003e\u003cp\u003e.- Influential Slot and Tag Selection in Billboard Advertisement.\u003c\/p\u003e\u003cp\u003e.- Speech-scenario Generation based on the Philosophy of Prominent Leader within the Small Community.\u003c\/p\u003e\u003cp\u003e.- VarCGAN: Variational Cyclic Generative Adversarial Network for Music Genre Style Transfer.\u003c\/p\u003e\u003cp\u003e.- Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions.\u003c\/p\u003e\u003cp\u003e.- A Hybrid Approach to estimating AI Carbon Emissions.\u003c\/p\u003e\u003cp\u003e.- Optimal Information Retrieval System in E-Learning Using Optimization-Driven Bidirectional Long Short-Term Memory.\u003c\/p\u003e\u003cp\u003e.- A Data Product Classification by Technical and Machine Learning Aspects.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Classification Techniques.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Discovering Voting Power for Ensemble Methods.\u003c\/p\u003e\u003cp\u003e.- Classifying Public and Private Documents Using Context-Based Predictions.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":49890667921656,"sku":"00000_00000_00000_00000","price":146.85,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/8208\/6904\/files\/9783032020482-1.jpg?v=1783773109","url":"https:\/\/kinokuniya.com.au\/products\/9783032020482","provider":"Books Kinokuniya Australia","version":"1.0","type":"link"}