According to our database1, Keng-Pei Lin authored at least 21 papers between 2007 and 2019.
Legend:Book In proceedings Article PhD thesis Other
The Structure-Behavior Coalescence Approach for Systems Modeling.
IEEE Access, 2019
Leveraging Online Word of Mouth for Personalized App Recommendation.
IEEE Trans. Comput. Social Systems, 2018
Enriching UML from Model Multiplicity to Model Singularity with Structure-Behavior Coalescence.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization.
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
A Consumer Review-Driven Recommender Service for Web E-Commerce.
Proceedings of the 10th IEEE Conference on Service-Oriented Computing and Applications, 2017
Integration of Social Media News Mining and Text Mining Techniques to Determine a Corporate's Competitive Edge.
Proceedings of the 21st Pacific Asia Conference on Information Systems, 2017
Privacy-preserving kernel k-means clustering outsourcing with random transformation.
Knowl. Inf. Syst., 2016
Salient corporate performance forecasting based on financial and textual information.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Secure support vector machines outsourcing with random linear transformation.
Knowl. Inf. Syst., 2015
Personalized Hotel Recommendation Using Text Mining and Mobile Browsing Tracking.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Identifying Highly Potential Enterprises with Social Computing on Supply Chain Networks.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom 2015, 2015
Efficient Approximation for Large-Scale Kernel Clustering Analysis.
Proceedings of the 18th Pacific Asia Conference on Information Systems, 2014
On Generalizable Low False-Positive Learning Using Asymmetric Support Vector Machines.
IEEE Trans. Knowl. Data Eng., 2013
Privacy-Preserving Kernel k-Means Outsourcing with Randomized Kernels.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
On the Design and Analysis of the Privacy-Preserving SVM Classifier.
IEEE Trans. Knowl. Data Eng., 2011
Efficient Kernel Approximation for Large-Scale Support Vector Machine Classification.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Towards communication-efficient private location dependent queries.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011
Privacy-preserving outsourcing support vector machines with random transformation.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Asymmetric support vector machines: low false-positive learning under the user tolerance.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Releasing the SVM Classifier with Privacy-Preservation.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Quality-Aware Sampling and Its Applications in Incremental Data Mining.
IEEE Trans. Knowl. Data Eng., 2007