國立中央大學教師履歷平台

期刊著作

• Ensemble Instance Selection for Medical Datasets: Single-Stage Parallel and Two-Stage Serial Ensemble Approaches
  Concurrency Computation Practice and Experience, 38, 1, 2026-01-01
  [ data mining,ensemble learning,instance selection,machine learning,medical datasets ]

• Data Quality Improvement for Financial Distress Prediction: Feature Selection, Data Re-Sampling, and Their Combinations in Different Orders
  Journal of Forecasting, 44, 7, 2205-2229, 2025-11-01
  [ data quality,data re-sampling,data science,feature selection,financial distress prediction,machine learning ]

• Combining multiple data resampling methods and classifier ensembles for better financial distress prediction: homogeneous and heterogeneous approaches
  Annals of Operations Research, 353, 2, 793-814, 2025-10-01
  [ Class imbalance learning,Classifier ensemble,Data re-sampling,Data science,Financial distress prediction ]

• Dimensionality Reduction Strategies for Classification: ML Versus DL Approaches and Their Combinations
  Expert Systems, 42, 10, 2025-10-01
  [ data science,deep learning,dimensionality reduction,feature extraction,feature selection,machine learning ]

• Predicting functional outcomes after a stroke event by clinical text notes: A comparative study of traditional machine learning and deep learning methods
  Health Informatics Journal, 31, 3, 2025-09-13
  [ acute ischemic stroke,deep learning,functional outcome prediction,machine learning,text mining ]

• Predicting high increases in stock prices using text mining and data resampling techniques
  Applied Soft Computing Journal, 176, 2025-05-01
  [ Class imbalance,Data resampling,Deep learning,Machine learning,Stock prediction,Text mining ]

• A novel hotel recommender system incorporating review sentiment and contextual information
  International Journal of Data Science and Analytics, 19, 3, 573-584, 2025-04-01
  [ Collaborative filtering,Contextual information,Hotel recommendations,Recommender systems,Sentiment analysis ]

• Interaction effect between data discretization and data resampling for class-imbalanced medical datasets
  Technology and Health Care, 33, 2, 1000-1013, 2025-03-01
  [ class imbalance,data mining,data resampling,discretization,machine learning ]

• A Framework for Measuring and Predicting Customer Lifetime Value: A Case Study for Online Game Industry
  IET Conference Proceedings, 2025, 8, 8-13, 2025-01-01

• Handling Class Imbalanced Data in Sarcasm Detection with Ensemble Oversampling Techniques
  Applied Artificial Intelligence, 39, 1, 2025-01-01

• On Combining Instance Selection and Discretisation: A Comparative Study of Two Combination Orders
  Journal of Information and Knowledge Management, 23, 5, 2024-10-01
  [ Data discretisation,data mining,instance selection,machine learning,outliers ]

• The effect of review visibility and diagnosticity on review helpfulness – An accessibility-diagnosticity theory perspective
  Decision Support Systems, 178, 2024-03-01
  [ Accessibility-diagnosticity theory,eWOM,Review helpfulness,Review visibility ]

• Feature selection and its combination with data over-sampling for multi-class imbalanced datasets
  Applied Soft Computing Journal, 153, 2024-03-01
  [ Class imbalance learning,Ensemble feature selection,Feature selection,Machine learning,Over-sampling ]

• Deep learning based decision tree ensembles for incomplete medical datasets
  Technology and Health Care, 32, 1, 75-87, 2024-01-05
  [ classifier ensembles,Data science,decision trees,deep learning,missing value imputation ]

• Managing Emotion In The Workplace: An Empirical Study With Enterprise Instant Messaging
  Applied Artificial Intelligence, 38, 1, 2024-01-01
  [ emotion management,Enterprise instant messaging,machine learning,sentiment analysis ]

• Combining data discretization and missing value imputation for incomplete medical datasets
  PLoS ONE, 18, 11 November, 2023-11-01

• An adaptive growing grid model for a non-stationary environment
  Neurocomputing, 550, 2023-09-14
  [ Adaptive growing grid,Growing grid,Neural clustering,Non-stationary environment,Self-organizing maps ]

• Role of Comprehensive Income in Predicting Bankruptcy
  Computational Economics, 62, 2, 689-720, 2023-08-01
  [ Altman variables,Bankruptcy,Comprehensive income,Forecasting ]

• Instance selection using one-versus-all and one-versus-one decomposition approaches in multiclass classification datasets
  Expert Systems, 40, 6, 2023-07-01
  [ data mining,instance selection,machine learning,multiclass classification,one-versus-all,one-versus-one ]

• Towards hybrid over- and under-sampling combination methods for class imbalanced datasets: an experimental study
  Artificial Intelligence Review, 56, 2, 845-863, 2023-02-01
  [ Class imbalance,Data science,Machine learning,Over-sampling,Under-sampling ]

• Majority re-sampling via sub-class clustering for imbalanced datasets
  Journal of Experimental and Theoretical Artificial Intelligence, 2023-01-01
  [ Clustering,data mining,imbalanced datasets,machine learning,under-sampling ]

• Factors affecting text mining based stock prediction: Text feature representations, machine learning models, and news platforms
  Applied Soft Computing Journal, 130, 2022-11-01
  [ Feature representation,Financial news,Machine learning,Stock prediction,Text mining ]

• A dynamic time warping approach for handling class imbalanced medical datasets with missing values: A case study of protein localization site prediction
  Expert Systems with Applications, 192, 2022-04-15
  [ Class imbalance,Data mining,Dynamic time warping,Machine learning,Missing value imputation ]

• Empirical comparison of supervised learning techniques for missing value imputation
  Knowledge and Information Systems, 64, 4, 1047-1075, 2022-04-01

• Deep learning for missing value imputation of continuous data and the effect of data discretization
  Knowledge-Based Systems, 239, 2022-03-05

• An investigation of solutions for handling incomplete online review datasets with missing values
  Journal of Experimental and Theoretical Artificial Intelligence, 34, 6, 971-987, 2022-01-01
  [ data mining,incomplete datasets,missing values,Online reviews ]

• Missing value imputation and the effect of feature normalisation on financial distress prediction
  Journal of Experimental and Theoretical Artificial Intelligence, 2022-01-01
  [ deep learning,feature normalisation,financial distress prediction,Machine learning,missing value imputation ]

• Cube of space sampling for 3D model retrieval
  Applied Sciences (Switzerland), 11, 23, 2021-12-01
  [ 3D model,3D object,Collision detection,Content-based retrieval,Re-sampling,Similarity match ]

• Towards missing electric power data imputation for energy management systems
  Expert Systems with Applications, 174, 2021-07-15
  [ Data mining,Electric power data,Energy management system,Machine learning,Missing value imputation ]

• On combining feature selection and over-sampling techniques for breast cancer prediction
  Applied Sciences (Switzerland), 11, 14, 2021-07-02
  [ Breast cancer,Class imbalance,Data mining,Feature selection,Machine learning,Over-sampling ]

• Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction
  Journal of Business Research, 130, 200-209, 2021-06-01
  [ Data mining,Ensemble learning,Feature selection,Financial distress prediction,Instance selection ]

• Solving regression problems with intelligent machine learner for engineering informatics
  Mathematics, 9, 6, 2021-03-02
  [ Applied machine learning,Classification and regression,Data mining,Engineering informatics,Ensemble model ]

• Instance selection in medical datasets: A divide-and-conquer framework
  Computers and Electrical Engineering, 90, 2021-03-01
  [ Data reduction,Divide-and-conquer,Instance selection,Machine learning,Medical data mining ]

• Feature selection and ensemble learning techniques in one-class classifiers: An empirical study of two-class imbalanced datasets
  IEEE Access, 9, 13717-13726, 2021-01-01
  [ class imbalance,Data mining,ensemble learning,machine learning,one-class classifiers ]

• Data cleaning issues in class imbalanced datasets: instance selection and missing values imputation for one-class classifiers
  Data Technologies and Applications, 2021-01-01
  [ Class imbalance,Data mining,Instance selection,Machine learning,Missing value imputation,One-class classifiers ]

• The data sampling effect on financial distress prediction by single and ensemble learning techniques
  Communications in Statistics - Theory and Methods, 2021-01-01
  [ class imbalance,Data mining,data sampling,financial distress prediction,machine learning ]

• Two-stage hybrid learning techniques for bankruptcy prediction*
  Statistical Analysis and Data Mining, 13, 6, 565-572, 2020-12-01

• Combining corporate governance indicators with stacking ensembles for financial distress prediction
  Journal of Business Research, 120, 137-146, 2020-11-01
  [ Bankruptcy prediction,Corporate governance indicators,Data mining,Financial distress prediction,Stacking ensembles ]

• Improving text summarization of online hotel reviews with review helpfulness and sentiment
  Tourism Management, 80, 2020-10-01
  [ Helpful review selection , Online hotel reviews , Sentiment analysis , Text summarization , TripAdvisor ]

• Ensemble feature selection in high dimension, low sample size datasets: Parallel and serial combination approaches
  Knowledge-Based Systems, 203, 2020-09-05
  [ Data mining , Ensemble learning , Feature selection , High dimension low sample size , Machine learning ]

• Integrating feature and instance selection techniques in opinion mining
  International Journal of Data Warehousing and Mining, 16, 3, 168-182, 2020-07-01
  [ Feature Selection , Instance Selection , Opinion Mining , Text Classification ]

• Association rule mining for the ordered placement of traditional Chinese medicine containers: An experimental study
  Medicine (United States), 99, 18, 2020-05-01

• The feature selection effect on missing value imputation of medical datasets
  Applied Sciences (Switzerland), 10, 7, 2020-04-01
  [ Data mining , Feature selection , Imputation , Medical datasets , Missing values ]

• Missing value imputation: a review and analysis of the literature (2006–2017)
  Artificial Intelligence Review, 53, 2, 1487-1509, 2020-02-01
  [ Data mining , Imputation , Incomplete dataset , Missing values , Supervised learning ]

• The optimal combination of feature selection and data discretization: An empirical study
  Information Sciences, 505, 282-293, 2019-12-01
  [ Data mining , Discretization , Feature selection , Machine learning ]

• Under-sampling class imbalanced datasets by combining clustering analysis and instance selection
  Information Sciences, 477, 47-54, 2019-03-01
  [ Class imbalance , Clustering , Data mining , Ensemble classifiers , Instance selection ]

• Feature selection in single and ensemble learning-based bankruptcy prediction models
  Expert Systems, 36, 1, 2019-02-01
  [ bankruptcy prediction , data mining , ensemble classifiers , feature selection , machine learning ]

• A class center based approach for missing value imputation
  Knowledge-Based Systems, 151, 124-135, 2018-07-01
  [ Data mining , Incomplete datasets , Machine learning , Missing value imputation ]

• A novel classifier ensemble approach for financial distress prediction
  Knowledge and Information Systems, 54, 2, 437-462, 2018-02-01
  [ Bankruptcy prediction , Classifier ensembles , Credit scoring , Financial distress prediction , Machine learning , Type I error ]

• Improvement of Adequate Digoxin Dosage: An Application of Machine Learning Approach
  Journal of Healthcare Engineering, 2018, 2018-01-01

• Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets
  Journal of Healthcare Engineering, 2018, 2018-01-01

• When should we ignore examples with missing values?
  International Journal of Data Warehousing and Mining, 13, 4, 53-63, 2017-10-01
  [ Case Deletion , Categorical Data , Classification , Data Mining , Imputation , Machine Learning , Missing Values , Numerical Data ]

• Clustering-based undersampling in class-imbalanced data
  Information Sciences, 409-410, 17-26, 2017-10-01
  [ Class imbalance , Classifier ensembles , Clustering , Imbalanced data , Machine learning ]

• Soft estimation by hierarchical classification and regression
  Neurocomputing, 234, 27-37, 2017-04-19
  [ Classification , Data mining , Hierarchical estimation , Prediction , Regression ]

• SVM and SVM ensembles in breast cancer prediction
  PLoS ONE, 12, 1, 2017-01-01

• Top 10 data mining techniques in business applications: a brief survey
  Kybernetes, 46, 7, 1158-1170, 2017-01-01
  [ Business applications , Data mining , Machine learning , Survey ]

• Building an associative classifier with multiple minimum supports
  SpringerPlus, 5, 1, 2016-12-01
  [ Association rule , Classification based on associations , Data mining , Multiple minimum supports ]

• Applying machine learning techniques to the identification of late-onset hypogonadism in elderly men
  SpringerPlus, 5, 1, 2016-12-01
  [ Classification , Data mining , Late-onset hypogonadism (LOH) , Prediction ]

• Research performance of AACSB accredited institutions in Taiwan: before versus after accreditation
  SpringerPlus, 5, 1, 2016-12-01
  [ AACSB accreditation , Business school , Citation analysis , Learning , Teaching ]

• The distance function effect on k-nearest neighbor classification for medical datasets
  SpringerPlus, 5, 1, 2016-12-01
  [ Distance function , Euclidean distance , k-Nearest neighbor , Medical datasets , Pattern classification ]

• Big data mining with parallel computing: A comparison of distributed and MapReduce methodologies
  Journal of Systems and Software, 122, 83-92, 2016-12-01
  [ Big data , Cloud computing , Data mining , Distributed , MapReduce , Parallel computing ]

• Combining instance selection for better missing value imputation
  Journal of Systems and Software, 122, 63-71, 2016-12-01
  [ Data mining , Incomplete data , Instance selection , Missing value imputation ]

• 3D model retrieval by sample based alignment
  Journal of Visual Communication and Image Representation, 40, Part B, 721-731, 2016-10-01
  [ 3D model , Continuous Principal Component Analysis (CPCA) , LightField Descriptors (LFD) , Multimedia , Retrieval ]

• Data preprocessing issues for incomplete medical datasets
  Expert Systems, 33, 5, 432-438, 2016-10-01
  [ feature selection , imputation , incomplete medical datasets , instance selection , missing value ]

• Research impact of general and funded papers: A citation analysis of two ACM international conference proceeding series
  Online Information Review, 40, 4, 472-480, 2016-08-08
  [ Citation analysis , Highly cited papers , Research funding , Research impact ]

• Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study
  European Journal of Operational Research, 252, 2, 561-572, 2016-07-16
  [ Bankruptcy prediction , Corporate governance indicators , Data mining , Feature selection , Financial ratios ]

• (3, n)-visual secret sharing scheme with unexpanded shares
  Jisuanji Xuebao/Chinese Journal of Computers, 39, 3, 441-453, 2016-03-01
  [ Black-white contrast , Combinatorics , Visual cryptography , Visual secret sharing ]

• Keypoint selection for efficient bag-of-words feature generation and effective image classification
  Information Sciences, 329, 33-51, 2016-02-01
  [ Bag-of-words , Image classification , Keypoint selection , Object categorization ]

• SAFQuery: A simple and flexible advanced Web search interface
  Electronic Library, 34, 1, 155-168, 2016-02-01
  [ Information retrieval , Interfaces ]

• Intangible assets evaluation: The machine learning perspective
  Neurocomputing, 175, PartA, 110-120, 2016-01-29
  [ Classifier ensembles , Classifier technology , Hybrid classifiers , Intangible assets value , Machine learning ]

• Robustness and reliability evaluations of image annotation
  Imaging Science Journal, 64, 2, 94-99, 2016-01-01
  [ Annotation accuracy , Coefficient of variation , Image annotation , Performance evaluation ]

• On learning dual classifiers for better data classification
  Applied Soft Computing Journal, 37, 296-302, 2015-12-10
  [ Data mining , Instance selection , Machine learning , Training effectiveness ]

• A privilege-based visual secret sharing model
  Journal of Visual Communication and Image Representation, 33, 358-367, 2015-11-01
  [ Image encryption , Image sharing , Information hiding , Privileged share , Progressive reconstruction , Unexpanded share , Visual cryptography , Visual secret sharing ]

• Image retargeting using RGB-D camera
  Multimedia Tools and Applications, 74, 9, 3155-3170, 2015-05-01
  [ Content-aware image resizing , Depth information , Discontinuous seam carving ]

• Evolutionary feature and instance selection for traffic sign recognition
  Computers in Industry, 74, 201-211, 2015-01-21
  [ Data mining , Feature selection , Genetic algorithm , Instance selection , Traffic sign recognition ]

• A hybrid indicator for journal ranking: An example from the field of Health Care Sciences and Services
  Online Information Review, 39, 7, 858-869, 2015-01-01
  [ Citation analysis , H-index , Journal impact factor , Journal ranking ]

• A novel approach for mining cyclically repeated patterns with multiple minimum supports
  Applied Soft Computing Journal, 28, 90-99, 2015-01-01
  [ Cyclically repeated pattern (CRP) mining,Data mining,Multiple minimum supports,Sequential pattern ]

• LocalContent: A personal scientific document retrieval system
  Electronic Library, 33, 3, 373-385, 2015-01-01
  [ Document management , Interfaces ]

• CANN: An intrusion detection system based on combining cluster centers and nearest neighbors
  Knowledge-Based Systems, 78, 1, 13-21, 2015-01-01
  [ Anomaly detection , Cluster center , Feature representation , Intrusion detection , Nearest neighbor ]

• The effect of low-level image features on pseudo relevance feedback
  Neurocomputing, 166, 26-37, 2015-01-01
  [ Feature representation , Image retrieval , Pseudo relevance feedback , Relevance feedback , Rocchio algorithm ]

• Correlation analysis for comparison of the citation impact of journals, magazines, and conferences in computer science
  Online Information Review, 39, 3, 310-325, 2015-01-01
  [ Citation analysis , Computer science , Conference publications , Correlation coefficient , h-index , Journal publications ]

• Learning to detect representative data for large scale instance selection
  Journal of Systems and Software, 106, 1-8, 2015-01-01
  [ Data mining , Data reduction , Instance selection ]

• Factors affecting rocchio-based pseudorelevance feedback in image retrieval
  Journal of the Association for Information Science and Technology, 66, 1, 40-57, 2015-01-01
  [ image retrieval ]

• On mining incomplete medical datasets: Ordering imputation and classification
  Technology and Health Care, 23, 5, 619-625, 2015-01-01
  [ incomplete data , Instance selection , medical data mining , missing value imputation ]

• Customer segmentation issues and strategies for an automobile dealership with two clustering techniques
  Expert Systems, 32, 1, 65-76, 2015-01-01
  [ automobile dealer , clustering , customer segmentation , expectation maximization , k-means ]

• The effect of feature selection on financial distress prediction
  Knowledge-Based Systems, 73, 1, 289-297, 2015-01-01
  [ Bankruptcy prediction , Credit scoring , Data mining , Feature selection , Financial distress prediction ]

• Instance selection by genetic-based biological algorithm
  Soft Computing, 19, 5, 1269-1282, 2015-01-01
  [ Biological evolution , Data mining , Data reduction , Genetic algorithms , Instance selection , Machine learning ]

• An efficient data preprocessing approach for large scale medical data mining
  Technology and Health Care, 23, 2, 153-160, 2015-01-01
  [ breast cancer , Data preprocessing , instance selection , medical data mining , protein homology ]

• Machine learning in concrete strength simulations: Multi-nation data analytics
  Construction and Building Materials, 73, 771-780, 2014-12-30
  [ Compressive strength , Ensemble classifiers , High performance concrete , Machine learning , Multi-nation data analysis , Prediction ]

• Modeling credit scoring using neural network ensembles
  Kybernetes, 43, 7, 1114-1123, 2014-07-29
  [ Bankruptcy prediction , Classifier ensemble , Credit scoring , Hybrid classifier , Machine learning ]

• Evolutionary instance selection for text classification
  Journal of Systems and Software, 90, 1, 104-113, 2014-01-13
  [ Genetic algorithms , Instance selection , Text classification ]

• Towards high dimensional instance selection: An evolutionary approach
  Decision Support Systems, 61, 1, 79-92, 2014-01-01
  [ Data mining , Data reduction , Genetic algorithms , High dimensional data , Instance selection , Machine learning ]

• Dimensionality and data reduction in telecom churn prediction
  Kybernetes, 43, 5, 737-749, 2014-01-01
  [ Churn prediction , Data mining , Data reduction , Dimensionality reduction , Feature selection ]

• A Borda count approach to combine subjective and objective based MIS journal rankings
  Online Information Review, 38, 4, 469-483, 2014-01-01
  [ Borda count , H-index , Journal ranking , MIS journals ]

• Stock prediction by searching for similarities in candlestick charts
  ACM Transactions on Management Information Systems, 5, 2, 2014-01-01
  [ Candlestick chart , Data mining , Stock prediction ]

• Combining cluster analysis with classifier ensembles to predict financial distress
  Information Fusion, 16, 1, 46-58, 2014-01-01
  [ Bankruptcy prediction , Classifier ensembles , Credit scoring , Financial distress , Hybrid classifiers , Machine learning ]

• A comparative study of classifier ensembles for bankruptcy prediction
  Applied Soft Computing Journal, 24, 977-984, 2014-01-01
  [ Bankruptcy prediction , Classifier ensembles , Credit scoring , Data mining , Machine learning ]

• A novel approach for (3, n)-threshold visual cryptography
  , 43, 2, 141-156, 2014-01-01
  [ (3 , Combinatorics , N)-threshold visual cryptography , Secret sharing , Visual cryptography ]

• Citation impact analysis of research papers that appear in oral and poster sessions: A case study of three computer science conferences
  Online Information Review, 38, 6, 738-745, 2014-01-01
  [ Bibliometrics , Citation analysis , Conference publication , Highly cited papers , Oral sessions , Poster sessions ]

• Biological-based genetic algorithms for optimized disaster response resource allocation
  Computers and Industrial Engineering, 74, 1, 52-67, 2014-01-01
  [ Biological-based genetic algorithm (BGA) , Genetic algorithm (GA) , Immune algorithm (IA) , Optimization problem , Refuge site resources , Relief supply distribution ]

• Citation impact analysis of top ranked computer science journals and their rankings
  Journal of Informetrics, 8, 2, 318-328, 2014-01-01
  [ Computer science , Correlation coefficient , H-Index , Impact factor , Journal ranking ]

• General model for the priority-based progressive visual secret sharing
  , 42, 2, 33-48, 2013-11-01
  [ Priority (weighting) share , Progressive visual secret sharing , Visual secret sharing ]

• Project dispute prediction by hybrid machine learning techniques
  Journal of Civil Engineering and Management, 19, 4, 505-517, 2013-09-01
  [ Clustering and classification , Dispute prediction , Hybrid intelligence , Machine learning , Project management , Public-private partnership ]

• Crossing the fuzzy front end chasm: Effective product project concept selection using a 2-tuple fuzzy linguistic approach
  Journal of Intelligent and Fuzzy Systems, 25, 3, 755-770, 2013-07-29
  [ 2-tuple fuzzy linguistic , fuzzy front end (FFE) , multi-attribute decision-making problems (MCDM) , new product development (NPD) project , Product concept ]

• SVOIS: Support vector oriented instance selection for text classification
  Information Systems, 38, 8, 1070-1083, 2013-06-19
  [ Data reduction , Instance selection , Machine learning , Support vector machines , Text classification ]

• Block-based progressive visual secret sharing
  Information Sciences, 233, 290-304, 2013-06-01
  [ Progressive visual secret sharing , Secret block , Steganography , Visual secret sharing ]

• A comparative study of hybrid machine learning techniques for customer lifetime value prediction
  Kybernetes, 42, 3, 357-370, 2013-03-22
  [ Customer information , Customer lifetime value , Data mining , Database marketing , Hybrid models , Machine learning ]

• A meta-learning framework for bankruptcy prediction
  Journal of Forecasting, 32, 2, 167-179, 2013-03-01
  [ bankruptcy prediction , machine learning , meta-learning , stacked generalization ]

• Genetic algorithms in feature and instance selection
  Knowledge-Based Systems, 39, 240-247, 2013-02-01
  [ Data mining , Data preprocessing , Feature selection , Genetic algorithms , Instance selection ]

• Popular research topics in multimedia
  Scientometrics, 95, 1, 465-479, 2013-01-01
  [ ACM SIGMM , Citations , Google Scholar , Multimedia , Research topics , Web of Science ]

• OGIR: An ontology-based grid information retrieval framework
  Online Information Review, 36, 6, 807-827, 2012-12-04
  [ Document delivery , Document management , Electronic libraries , Information retrieval , Information searches , Semantics ]

• Scenery image retrieval by meta-feature representation
  Online Information Review, 36, 4, 517-533, 2012-09-03
  [ Class-specific distances , Digital images , Feature extraction , Feature representation , Image processing , Image retrieval , Meta-features ]

• Machine learning in financial crisis prediction: A survey
  IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 42, 4, 421-436, 2012-07-01
  [ Bankruptcy prediction , credit scoring , ensemble classifiers , hybrid classifiers , machine learning ]

• Determinants of intangible assets value: The data mining approach
  Knowledge-Based Systems, 31, 67-77, 2012-07-01
  [ Data mining , Feature selection , Firm value , Intangible assets value , Neural networks ]

• Simple instance selection for bankruptcy prediction
  Knowledge-Based Systems, 27, 333-342, 2012-03-01
  [ Bankruptcy prediction , Clustering , Data mining , Instance selection , Outlier detection ]

• Preliminary cost estimates for thin-film transistor liquid-crystal display inspection and repair equipment: A hybrid hierarchical approach
  Computers and Industrial Engineering, 62, 2, 661-669, 2012-03-01
  [ Cost estimation , Hierarchical classification , Inspection and repair equipment , Regression , TFT-LCD ]

• Cluster ensembles in collaborative filtering recommendation
  Applied Soft Computing Journal, 12, 4, 1417-1425, 2012-01-01
  [ Cluster ensembles , Collaborative filtering , k-Means , Recommender systems , Self-organizing maps ]

• Concrete compressive strength analysis using a combined classification and regression technique
  Automation in Construction, 24, 52-60, 2012-01-01
  [ Classification , Compressive strength , Hierarchical data mining , High performance concrete , Regression ]

• Extracting word-of-mouth sentiments via sentiwordnet for document quality classification
  Recent Patents on Computer Science, 5, 2, 145-152, 2012-01-01
  [ Document quality classification , Information quality , Opinion mining , Sentiment analysis , Sentiwordnet , Word of mouth classification , Wordnet ]

• Predicting stock returns by classifier ensembles
  Applied Soft Computing Journal, 11, 2, 2452-2459, 2011-03-01
  [ Classifier ensembles,Decision trees,Logistic regression,Neural networks,Stock returns ]

• Quality analysis of object categorization benchmarks: Corel, caltech, and IAPR datasets
  Recent Patents on Computer Science, 4, 2, 108-113, 2011-01-01
  [ Benchmarks , Caltech , Corel , IAPR , Image annotation , Image retrieval , Object categorization ]

• Data mining techniques for identifying students at risk of failing a computer proficiency test required for graduation
  Australasian Journal of Educational Technology, 27, 3, 481-498, 2011-01-01
  [ K-MEANS,ALGORITHM,SYSTEM ]

• Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches
  Decision Support Systems, 50, 1, 258-269, 2010-12-01
  [ Data mining , Decision trees , Feature selection , Genetic algorithm , Principal Component Analysis , Stock prediction ]

• Discovering important factors of intangible firm value by association rules
  International Journal of Digital Accounting Research, 10, 55-85, 2010-12-01
  [ Association rules , Data mining , Firm value , Intangible assets value , Tobin's Q ]

• Variable selection by association rules for customer churn prediction of multimedia on demand
  Expert Systems with Applications, 37, 3, 2006-2015, 2010-03-15
  [ Association rules , Customer churn prediction , Data mining , Decision trees , Multimedia on demand , Neural networks ]

• Credit rating by hybrid machine learning techniques
  Applied Soft Computing Journal, 10, 2, 374-380, 2010-03-01
  [ Consumer loans , Credit rating , Hybrid models , Machine learning , Maximum profits ]

• Data mining techniques in customer churn prediction
  Recent Patents on Computer Science, 3, 1, 28-32, 2010-01-01
  [ Churn prediction , Customer relationship management , Data mining ]

• A triangle area based nearest neighbors approach to intrusion detection
  Pattern Recognition, 43, 1, 222-229, 2010-01-01
  [ Intrusion detection , k-means , k-nearest neighbors , Machine learning , Support vector machines , Triangle area ]

• Intrusion detection by machine learning: A review
  Expert Systems with Applications, 36, 10, 11994-12000, 2009-12-01
  [ Ensemble classifiers , Hybrid classifiers , Intrusion detection , Machine learning ]

• Customer churn prediction by hybrid neural networks
  Expert Systems with Applications, 36, 10, 12547-12553, 2009-12-01
  [ Back-propagation neural networks , Churn prediction , Hybrid data mining , Self-organizing maps ]

• Improving image annotation via useful representative feature selection
  Cognitive Processing, 10, 3, 233-242, 2009-08-01
  [ Image annotation , Image retrieval , Information gain ]

• Discovering stock trading preferences by self-organizing maps and decision trees
  International Journal on Artificial Intelligence Tools, 18, 4, 603-611, 2009-08-01
  [ Decision trees , Self-organizing maps , Stock characteristics , Trading preferences ]

• Feature selection in bankruptcy prediction
  Knowledge-Based Systems, 22, 2, 120-127, 2009-03-01
  [ Bankruptcy prediction , Data mining , Feature selection , Neural networks ]

• Component-based software version management based on a Component-Interface Dependency Matrix
  Journal of Systems and Software, 82, 3, 382-399, 2009-03-01
  [ Component-based software , Software development , Software maintenance , Version control , Version management ]

• Earnings management prediction: A pilot study of combining neural networks and decision trees
  Expert Systems with Applications, 36, 3 PART 2, 7183-7191, 2009-01-01
  [ Decision trees , Earnings management , Neural networks ]

• Personal photo browsing and retrieval by clustering techniques: Effectiveness and efficiency evaluation
  Online Information Review, 32, 6, 759-772, 2008-12-08
  [ Cluster analysis , Content management , Image processing , Photographs ]

• The development of audit detection risk assessment system: Using the fuzzy theory and audit risk model
  Expert Systems with Applications, 35, 3, 1053-1067, 2008-10-01
  [ Audit risk model , Detection risk , Fuzzy theory , Grounded theory ]

• A hybrid financial analysis model for business failure prediction
  Expert Systems with Applications, 35, 3, 1034-1040, 2008-10-01
  [ Artificial neural networks , Business failure prediction , Financial analysis ]

• Financial decision support using neural networks and support vector machines
  Expert Systems, 25, 4, 380-393, 2008-09-01
  [ Bankruptcy prediction , Credit scoring , Financial decision support , Neural networks , Support vector machines ]

• Sensitivity analysis of mapping local image features into conceptual categories
  Library Hi Tech, 26, 2, 255-273, 2008-07-07
  [ Sensitivity analysis , Statistical analysis ]

• Using neural network ensembles for bankruptcy prediction and credit scoring
  Expert Systems with Applications, 34, 4, 2639-2649, 2008-05-01
  [ Bankruptcy prediction , Classifier ensembles , Credit scoring , Neural networks ]

• Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand
  Expert Systems with Applications, 34, 1, 780-787, 2008-01-01
  [ Customer relationship management , Market segmentation , Self-organizing map ]

• A review of image retrieval methods for digital cultural heritage resources
  Online Information Review, 31, 2, 185-198, 2007-04-13
  [ Culture , Digital libraries , Heritage , Information retrieval ]

• Image mining by spectral features: A case study of scenery image classification
  Expert Systems with Applications, 32, 1, 135-142, 2007-01-01
  [ Ensemble classifiers , Gabor filters , Image classification , k-Nearest neighbor , Support vector machines , Wavelet transform ]

• CLAIRE: A modular support vector image indexing and classification system
  ACM Transactions on Information Systems, 24, 3, 353-379, 2006-10-17
  [ Content-based image retrieval , Image classification , Image indexing , Multiple classifier systems , Support vector machines ]

• Qualitative evaluation of automatic assignment of keywords to images
  Information Processing and Management, 42, 1 SPEC. ISS, 136-154, 2006-01-01
  [ Image annotation , Image retrieval , Qualitative evaluation , Statistical analysis ]

• Training support vector machines based on stacked generalization for image classification
  Neurocomputing, 64, 1-4 SPEC. ISS., 497-503, 2005-03-01
  [ Image classification , Stacked generalization , Support vector machines ]

• Stacked generalisation: A novel solution to bridge the semantic gap for content-based image retrieval
  Online Information Review, 27, 6, 442-445, 2003-12-01
  [ Computer graphic equipment , Image processing , Semantics ]

研討會著作

• A Novel Prediction Approach for Effective Medical Data Mining
  81-84, 2023-05-12
  [ instance selection,machine learning,Medical data mining ]

• The Impact of Feature Normalization on Different Feature Types of Medical Datasets
  29-33, 2023-05-12
  [ data preprocessing,feature normalization,medical datasets,pattern classification ]

• On Fusing Multiple Instance Selection Results
  1546-1549, 2019-12-01
  [ data mining , information fusion , instance selection ]

• Two Strategies for Bag-of-Visual Words Feature Extraction
  970-971, 2018-07-02
  [ Bag-of-visual words , Feature representation , Image classification ]

• Early versus late dimensionality reduction of bag-of-words feature representation for image classification
  42-45, 2017-12-08
  [ Bag-of-words , Dimensionality reduction , Feature selection , Image classification , Principal component analysis ]

• The effect of region segmentation on object categorization
  2016-11-22
  [ image classification , image segmentation , object categorization ]

• The Identification of Prolonged Length of Stay for Surgery Patients
  3000-3003, 2016-01-12
  [ Data Mining , General Surgery , Prolonged Length of Stay , Supervised Learning , Urgent Surgery ]

• Stock prediction by searching similar candlestick charts
  322-325, 2013-08-19
  

• Centroid-based nearest neighbor feature representation for e-government intrusion detection
  2012-05-04
  

• Data pre-processing by genetic algorithms for bankruptcy prediction
  1780-1783, 2011-12-01
  [ Bankruptcy prediction , data mining , data pre-processing genetic algorithms , data reduction , feature selection ]

• Mobile web search by query specification: An example of google mobile
  2010-12-01
  [ Information retrieval , Interface , Mobile web , Query specification ]

• An evaluation methodology for binary pattern classification systems
  953-956, 2010-12-01
  [ Classification performance , Clustering , Evaluation , Pattern classification ]

• Performance evaluation of the judicial system in Taiwan using data envelopment analysis and decision trees
  290-294, 2010-06-01
  [ Data envelopment analysis , Decision trees , Judica verdict , Performance evaluation ]

• A comparative study of global and local feature representations in image database categorization
  1563-1566, 2009-12-01
  [ Content-based image retrieval , Feature representation , Image classification , Multimedia databases ]

• Toward context-based image classification
  156-162, 2009-12-01
  [ Content-based image retrieval , Feature representation , Image classification , Image segmentation , Multimedia databases ]

• The development of audit detection risk assessment system: Using the fuzzy theory and audit risk model
  2007-12-01
  [ Audit risk model , Detection risk , Fuzzy theory , Grounded theory ]

• Image Classification Using Hybrid Neural Networks
  431-432, 2003-01-01
  [ Content-based image retrieval , Image indexing/classification , Neural networks ]

• Using neuro-fuzzy techniques based on a two-stage mapping model for concept-based image database indexing
  6-12, 2003-01-01
  

專書

• Research Anthology on Implementing Sentiment Analysis across Multiple Disciplines: Volume I-IV
  800-813, 2022-01-01
  

• Customer value analysis: A two-stage data mining approach
  95-113, 2021-01-01
  [ Association rules,Churn management,Customer relationship management,Data mining,Decision trees ]

• Customer Relations
  95-113, 2011-12-01
  [ Association rules,Churn management,Customer relationship management,Data mining,Decision trees ]

• Machine Learning: Concepts, Methodologies, Tools and Applications
  668-683, 2011-07-31
  

• Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection
  128-143, 2010-12-01
  

• Machine Learning Research Progress
  45-60, 2010-01-01
  [ Bankruptcy prediction,Ensemble classifiers,Hybrid classifiers,Machine learning ]

• Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics
  252-272, 2009-12-01