Keng-Pei Lin

According to our database1, Keng-Pei Lin authored at least 18 papers between 2007 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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

2017
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

2016
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

2015
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

2014
Efficient Approximation for Large-Scale Kernel Clustering Analysis.
Proceedings of the 18th Pacific Asia Conference on Information Systems, 2014

2013
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

2011
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

2010
Privacy-preserving outsourcing support vector machines with random transformation.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2008
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

2007
Quality-Aware Sampling and Its Applications in Incremental Data Mining.
IEEE Trans. Knowl. Data Eng., 2007


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