Web Information Systems Engineering - WISE 2023

Computational Intelligence Method for Privacy-Preserving Multiple Traveling Salesmen Problem.- Empowering Vulnerability Prioritization: A Heterogeneous Graph-Driven Framework for Exploitability Prediction.- ICAD: An Intelligent Framework for Real-Time Criminal Analytics and Detection.- Web Technologies.- Web Page Segmentation: A DOM-structural Cohesion Analysis Approach.- Learning to Select the Relevant History Turns in Conversational Question Answering.- A Methodological Approach for Data-intensive Web Application Design on top of Data Lakes.- ESPRESSO: A Framework for Empowering Search on Decentralized Web.- Primary Building Blocks for Web Automation.- A Web Service Oriented Integration Solution for Capital Facilities Information Handover.- Deep Neural Network based approach for IoT service QoS prediction.- Graph Embeddings and Link Predictions.- Path-KGE: Preference-aware Knowledge Graph Embedding with Path Semantics for Link Prediction.- Efficient Graph Embedding Method for Link Prediction via Incorporating Graph Structure and Node Attributes.- Link Prediction for Opportunistic Networks Based on Hybrid Similarity Metrics and E-LSTM-D Models.- FastAGEDs: Fast Approximate Graph Entity Dependency Discovery.- Topological Network Field Preservation For Heterogeneous Graph Embedding.- Predictive Analysis and Machine Learning.- Federated Learning Performance on Early ICU Mortality Prediction with Extreme Data Distributions.- TSEGformer:Time-Space dimension dependency transformer for use in multivariate time series prediction.- Fraudulent Jobs Prediction Using Natural Language Processing and Deep Learning Sequential Models.- Prediction of Student Performance with Machine Learning Algorithms Based on ensemble learning methods.- Recommendation Systems.- Counterfactual Explanations for Sequential Recommendation with Temporal Dependencies.- Incorporating Social-aware User Preference for Video Recommendation.- Noise-augmented Contrastive Learning for Sequential Recommendation.- Self-Attention Convolutional Neural Network for Sequential Recommendation.- Informative Anchor-enhanced Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation.- Leveraging Sequential Episode Mining for Session-based News Recommendation.- Improving Conversational Recommender Systems via Knowledge enhanced Temporal Embedding.- Natural Language Processing (NLP) and Databases .- Multi-level Correlation Matching for Legal Text Similarity Modeling with Multiple Examples.- GAN-IE: Enhancing Information Extraction Through Generative Adversarial Networks with Limited Annotated Data.- An Integrated Interactive Framework for Natural Language to SQL Translation.- Task-driven Neural Natural Language Interface to Database.- Identification and Generation of Actions using Pre-trained Language Models.- GADESQL: Graph Attention Diffusion Enhanced Text-To-SQL with Single and Multi-hop Relations.- An Ensemble-based Approach for Generative Language Model Attribution.- Knowledge-grounded Dialogue Generation with Contrastive Knowledge Selection.- Data Analysis and Optimization.- A data-driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation.- Processing Reverse Nearest Neighbor Queries Based on Unbalanced Multiway Region Tree Index.- Solving Injection Molding Production Cost Problem Based on Combined Group Role Assignment with Costs.- CREAM: Named Entity Recognition with Concise Query and Region-Aware Minimization.- Anomaly and Threat Detection.- An Effective Dynamic Cost-Sensitive Weighting based Anomaly Multi-Classification Model for Imbalanced Multivariate Time Series.- Multivariate Time Series Anomaly Detection Based on Graph Neural Network for Big Data Scheduling System.- Study on Credit Risk Control By Variational Inference.- Streaming Data.- An Adaptive Drilling Sampling Method and Evaluation Model for Large Scale Streaming Data.- Unsupervised Representation Learning with Semantic of Streaming Time Series.- Miscellaneous.- Capo: Calibrating Device-to-Device Positioning With a Collaborative Network.- The Impact on Employability by COVID-19 Pandemic - AI case studies.- A semi-automatic framework towards building Electricity Grid Infrastructure Management ontology: A case study and retrospective.- Word-Graph2vec: An efficient word embedding approach on word co-occurrence graph using random walk technique.- Meta-Learning for Estimating Multiple Treatment Effects with Imbalance.- SML: Semantic Machine Learning Model Ontology.- Explainability and Scalability in AI.- A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability.- Scaling Machine Learning with an efficient Hybrid Distributed Framework.- Domain Adaptation with Sample Relation Reinforcement.