Author Info
Name
Affiliation
Papers
MINGHAO PIAO
Database/Bioinformatics Lab, Chungbuk National University, Cheongju, Korea 361-763
16
Collaborators
Citations 
PageRank 
29
37
6.30
Referers 
Referees 
References 
119
303
156
Search Limit
100303
Title
Citations
PageRank
Year
Wafer Map Defect Pattern Classification Based On Convolutional Neural Network Features And Error-Correcting Output Codes10.352020
Framework of an IoT-based Industrial Data Management for Smart Manufacturing10.402019
Symmetrical Uncertainty-Based Feature Subset Generation and Ensemble Learning for Electricity Customer Classification00.342019
Multiclass cancer classification using a feature subset-based ensemble from microRNA expression profiles.20.382017
A Data Mining Approach for Cardiovascular Disease Diagnosis Using Heart Rate Variability and Images of Carotid Arteries.50.432016
Subspace Frequency Analysis-Based Field Indices Extraction for Electricity Customer Classification.00.342016
One pass preprocessing for token-based source code clone detection00.342014
One pass preprocessing for token-based source code clone detection00.342014
An ensemble correlation-based gene selection algorithm for cancer classification with gene expression data.180.792012
Enumeration tree based emerging patterns mining by using two different supports10.362011
Incremental Emerging Patterns Mining for Identifying Safe and Non-safe Power Load Lines00.342010
Imtar: Incremental Mining Of General Temporal Association Rules20.382010
Using Significant Classification Rules to Analyze Korean Customers' Power Consumption Behavior: Incremental Tree Induction using Cascading-and-Sharing Method10.352010
Discovery of Significant Classification Rules from Incrementally Inducted Decision Tree Ensemble for Diagnosis of Disease00.342009
Emerging Patterns Based Methodology for Prediction of Patients with Myocardial Ischemia20.352009
Application of Classification Methods for Forecasting Mid-Term Power Load Patterns40.492008