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.