Advanced Data Mining and Applications

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.