E-grāmata: Advanced Data Mining and Applications: 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I

Finance and Healthcare.- Application of Supplemental Sampling and
Interpretable AI in Credit Scoring for Canadian Fintechs: Methods and Case
Studies.- A Deep Convolutional Autoencoder-based Approach for
Parkinson's Disease Diagnosis Through Speech Signals.- Mining the Potential
Relationships Between Cancer Cases and Industrial Pollution Based on
High-influence Ordered-pair Patterns.- Finding Hidden Relationships Between
Medical Concepts By Leveraging Metamap And Text Mining Techniques.- Causality
Discovery Based on Combined Causes and Multiple Causes in Drug-drug
Interaction.- An Integrated Medical Recommendation Mechanism
Combining Promote Product Singular Value Decomposition and Knowledge
Graph.- Web and IoT Applications.- Joint Extraction of Entities and Relations
in The News Domain.- Event Detection From Web Data in Chinese Based on
Bi-LSTM with Attention.- Sentiment Analysis of Tweets Using Deep
Learning.- Cyber Attack Detection in IoT Networks with Small
Samples: Implementation and Analysis.- SATB: A Testbed of IoT-based Smart
Agriculture Network for Dataset Generation.- An Overview on Reducing Social
Networks' Size.- AuCM: Course Map Data Analytics for Australian IT Programs
in Higher Education.- Profit Maximization using Social Networks in Two-Phase
Setting.- On-device Application.- SESA: Fast Trajectory Compression Method
Using Sub-trajectories Segmented by Stay Areas.- Android Malware Detection
Based on Stacking and Multi-feature Fusion.- In uential Billboard Slot
Selection using Pruned Submodularity Graph.- Quantifying Association Between
Street-Level Urban Features and Crime Distribution Around Manhattan Subway
Entrances.- The Coherence and Divergence Between the Objective and
Subjective Measurements of Street Perceptions for Shanghai.- Other
Applications.- A Comparative Study of Question Answering over Knowledge
Bases.- A Deep Learning Framework for Removing Bias from
Single-Photon Emission Computerized Tomography.- Popularity Forecasting for
Emerging Research Topics at its Early Stage of Evolution.- Positive Unlabeled
Learning by Sample Selection and Prototype Refinement.- Handling missing data
with Markov boundary.- Pattern Mining.- An Efficient Method for outlying
Aspect Mining based on Genetic Algorithm.- Effective Mining of Contrast
Hybrid Patterns from Nominal-numerical Mixed Data.- TPFL: Test Input
Prioritization for Deep Neural Networks Based on Fault Localization.- Mining
Maximal Sub-prevalent Co-location Patterns Based on k-hop.- An Association
Rule Mining-Based Framework for the Discovery of Anomalous Behavioral
Patterns.- Mining E-closed High Utility Co-location Patterns From Spatial
Data.- Graph Mining.- Implementation and Analysis of Centroid Displacement
based k-Nearest Neighbors.- EvAnGCN: Evolving Graph Deep Neural Network Based
Anomaly Detection in Blockchain.- Deterministic Graph-Walking Program
Mining.- A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed
Prediction.- Multi-view Gated Graph Convolutional Network for
Aspect-Level Sentiment Classification.- Decentralized Graph Processing for
Reachability Queries.- Being Automated or Not? Risk Identification of
Occupations with Graph Neural Networks.