Web Information Systems Engineering WISE 2023: 24th International Conference, Melbourne, VIC, Australia, October 2527, 2023, Proceedings 1st ed. 2023 [Mīkstie vāki]

Text and Sentiment Analysis.- Ensemble Learning Model for Medical Text
Classification.- Fuzzy Based Text Quality Assessment for Sentiment
Analysis.- Prompt-Learning for Semi-Supervised Text
Classification.- Label-Dependent Hypergraph Neural Network for Enhanced
Multi-label Text Classification.- Fast Text Comparison Based on ElasticSearch
and Dynamic Programming.- Question Answering and Information Retrieval.- User
Context-aware Attention Networks for Answer Selection.- Towards Robust Token
Embeddings for Extractive Question Answering.- Math Information Retrieval
with Contrastive Learning of Formula Embeddings.- Social Media and News
Analysis.- Influence Embedding from Incomplete Observations in Sina
Weibo.- Dissemination of Fact-checked News does not Combat False
News: Empirical Analysis.- Highly Applicable Linear Event Detection Algorithm
on Social Media with Graph Stream.- Leveraging Social Networks for Mergers
and Acquisitions Forecasting.- Enhancing Trust Prediction in Attributed
Social Networks with Self-Supervised Learning.- Security and
Privacy.- Bilateral Insider Threat Detection: Harnessing Standalone
and Sequential Activities with Recurrent Neural Networks.- ATDG: An Automatic
Cyber Threat Intelligence Extraction Model of DPCNN and BIGRU Combined with
Attention Mechanism.- Blockchain-Empowered Resource Allocation and Data
Security for Efficient Vehicle Edge Computing.- Priv-S: Privacy-Sensitive
Data Identification in Online Social Networks.- TLEF: Two-Layer Evolutionary
Framework for t-closeness Anonymization.- A Dual-Layer Privacy-Preserving
Federated Learning Framework.- A Privacy-Preserving Evolutionary Computation
Framework for Feature Selection.- Local Difference-based Federated Learning
Against Preference Profiling Attacks.- Proximity-based MAENS: A 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.