DATA MINING PROJECT

• Educational Data Mining to Support Programming Learning Using ProblemSolving Data
• Implementation of a Secure Storage Using Blockchain for PCAFRF Sensor Data of PlateLike Structures
• Dynamic Monitoring of Mining Destruction on Coal Seam Floor With Constrained TimeLapse Resistivity Imaging Inversion
• Analysis and Prediction of Students Academic Performance Based on Educational Data Mining
• A Novel Unsupervised DataDriven Method for Electricity Theft Detection in AMI Using Observer Meters
• Unsupervised Outlier Detection for MixedValued Dataset Based on the Adaptive kNearest Neighbor Global Network
• Educational Data Mining A Bibliometric Analysis of an Emerging Field
• Exploration and Visualization of Learning Behavior Patterns From the Perspective of Educational Process Minin
• Deblending of SimultaneousSource Seismic Data Based on Deep Convolutional Neural Network
• An Optimized Multisource Bilinear Convolutional Neural Network Model for Flame Image Identification of Coal Mine
• Diffraction Extraction Using a LowRank Matrix Approximation Method
• System Failure Detection Using Deep Learning Models Integrating Timestamps With Nonuniform Intervals
• Deeply Trained RealTime Body Sensor Networks for Analyzing the Symptoms of Parkinsons Disease
• Student Retention Using Educational Data Mining and Predictive Analytics A Systematic Literature Review
• Machine Learning Algorithms for COPD Patients Readmission Prediction A Data Analytics Approach
• An Efficient Data Mining Technique for Assessing Satisfaction Level With Online Learning for Higher Education Students During the COVID19
• Automatic Conversion of Event Data to Event Logs Using CNN and Event Density Embedding
• Research on Performance Evaluation of Urban Furniture Function Design Based on Internet of Things Digitization
• Mining Transactional Databases for Frequent and HighUtility Fuzzy Sequential Patterns With Time Intervals
• Privacy Preserving Data Mining Framework for Negative Association Rules An Application to Healthcare Informatics
• Fatality Prediction for Motor Vehicle Collisions Mining Big Data Using Deep Learning and Ensemble Methods
• Construction and Evaluation of a HighQuality Corpus for Legal Intelligence Using Semiautomated Approaches
• Private True Data Mining Differential Privacy Featuring Errors to Manage InternetofThings Data
• Earth Observation Semantic Data Mining Latent Dirichlet AllocationBased Approach
• Multimodal Event Processing A NeuralSymbolic Paradigm for the Internet of Multimedia Things