The two-volume set LNAI 13725 and 13726 constitutes the proceedings of the 18th International Conference on Advanced Data Mining and Applications, ADMA 2022, which took place in Brisbane, Queensland, Australia, in November 2022.
The 72 papers presented in the proceedings were carefully reviewed and selected from 198 submissions. The contributions were organized in topical sections as follows: Finance and Healthcare; Web and IoT Applications; On-device Application; Other Applications; Pattern Mining; Graph Mining; Text Mining; Image, Multimedia and Time Series Data Mining; Classification, Clustering and Recommendation; Multi-objective, Optimization, Augmentation, and Database; and Others.
Text Mining.- Towards Idea Mining: Problem-Solution Phrases Extraction
From Text.- Spam Email Categorization with NLP and Using Federated Deep
Learning.- SePass: Semantic Password Guessing Using k-nn Similarity Search
in Word Embeddings.- DeMRC: Dynamically Enhanced Multi-hop Reading
Comprehension Model for Low Data.- ESTD: Empathy Style Transformer with
Discriminative Mechanism.- Detection Method of User Behavior Transition on
Computer.- Image, Multimedia and Time Series Data Mining.- Ensemble Image
Super-resolution CNNs for Small Data and Diverse Compressive
Models.- Optimizing MobileNetV2 Architecture Using Split Input and
Layer Replications for 3D Face Recognition Task.- GANs for Automatic
Generation of Data Plots.- An Explainable Approach to Semantic Link Mining in
Multi-sourced Dynamic Data.- Information Mining from Images of Pipeline Based
on Knowledge Representation and Reasoning.- Binary Gravitational Subspace
Search for Outlier Detection in High Dimensional Data
Streams.- Classification, Clustering and Recommendation.- Signal
Classification using Smooth Coecients of Multiple Wavelets to Achieve High
Accuracy from Compressed Representation of Signal.- On Reducing the Bias of
Random Forest.- A collaborative filtering recommendation method integrating
user profiles.- A Quality Metric for K-Means Clustering Based on Centroid
Locations.- Clustering Method for Touristic Photographic Spots
Recommendation.- Personalized Federated Learning with Robust Clustering
against Model Poisoning.- A Data-Driven Framework for Driving Style
Classification.- Density Estimation in High-Dimensional Spaces: a
Multivariate Histogram Approach.- Multi-objective, Optimization,
Augmentation, and Database.- Correcting Temporal Overlaps in Process Models
Discovered from OLTP Databases.- WDA: A Domain-Aware Database Schema Analysis
for improving OBDA-based Event Log Extractions.- A Cricket-based Selection
Hyper-heuristic for Many-objective Optimization Problems.- Multi-Objective
Optimization Based Feature Selection Using Correlation.- SAME: Sampling
Attack in Multiplex Network Embedding.- Cycles Improve Conditional
Generators: Synthesis and Augmentation for Data Mining.- Using the Strongest
Adversarial Example to Alleviate Robust Overfitting.- Deduplication Over
Heterogeneous Attribute Types (D-HAT).- Others.- Probing Semantic Grounding
in Language Models of Code with Representational Similarity
Analysis.- Location Data Anonymization Retaining Data Mining Utilization.- A
Distributed SAT-based Framework for Closed Frequent Itemset Mining.- Index
Advisor via DQN with Invalid Action Mask in Tree-Structured Action Space.- A
Hybrid Model for Demand Forecasting Based on the Combination of Statistical
and Machine Learning Methods.- A Boosting Algorithm for Training from Only
Unlabeled Data.- A Study of the Effectiveness of Correction Factors for Log
Transforms in Ensemble Models.
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