Ming-Yen Lin

According to our database, Ming-Yen Lin authored at least 41 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimizing Session-Aware Recommenders: A Deep Dive into GRU-Based Latent Interaction Integration.

Ming-Yen Lin, Ping-Chun Wu, Sue-Chen Hsueh

Future Internet, February, 2024

Latent space representation of electronic health records for clustering dialysis-associated kidney failure subtypes.

Djeane Debora Onthoni, Ming-Yen Lin, Kuei-Yuan Lan, Tsung-Hsien Huang, Hong-Ming Lin, Hung-Yi Chiou, Chih-Cheng Hsu, Ren-Hua Chung

Comput. Biol. Medicine, 2024

Understanding eGFR Trajectories and Kidney Function Decline via Large Multimodal Models.

Chih-Yuan Li, Jun-Ting Wu, Chan Hsu, Ming-Yen Lin, Yihuang Kang

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

2023

A single framework of precision surveillance of diabetes disease prognosis for better care with collaboration.

Hsing Paul Luh, Ming-Yen Lin, Ping-Hsun Wu

J. Integr. Des. Process. Sci., 2023

Context Enhanced Recurrent Neural Network for Session-Aware Recommendation.

Sue-Chen Hsueh, Min-Shan Shih, Ming-Yen Lin

Proceedings of the Technologies and Applications of Artificial Intelligence, 2023

2022

Interactive Mining of Probabilistic Frequent Patterns in Uncertain Databases.

Ming-Yen Lin, Cheng-Tai Fu, Sue-Chen Hsueh

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022

Quality Analysis and Colour Decoding of Printed Matters using a Portable 2D Chroma Meter.

Cheng-Ru Li, Chih-Chung Yang, Chun-Han Chou, Ming-Yen Lin, Yu-Hsuan Lin

Proceedings of the 10th International Conference on Photonics, Optics and Laser Technology, 2022

2021

Data Analysis of the Risks of Type 2 Diabetes Mellitus Complications before Death Using a Data-Driven Modelling Approach: Methodologies and Challenges in Prolonged Diseases.

Ming-Yen Lin, Jia-Sin Liu, Tzu-Yang Huang, Ping-Hsun Wu, Yi-Wen Chiu, Yihuang Kang, Chih-Cheng Hsu, Shang-Jyh Hwang, Hsing Paul Luh

Inf., 2021

Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning.

Yihuang Kang, Yi-Wen Chiu, Ming-Yen Lin, Fang-Yi Su, Sheng-Tai Huang

Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

Using Spark for Text Mining on Large Scale Liver Cancer Literature.

Ming-Yen Lin, Yu-Ju Lin, Sue-Chen Hsueh

Proceedings of the BDET 2021: The 3rd International Conference on Big Data Engineering and Technology, 2021

2020

Quantifying the color changes in bruised skin using a color-calibrated imaging system.

Cheng-Ru Li, Hsin-Yi Tsai, Chih-Chung Yang, Ming-Yen Lin, Kuo-Cheng Huang, Yu-Hsuan Lin

Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

2018

Mining and Maintenance of Sequential Patterns using a Backward Generation Framework.

Ming-Yen Lin, Sue-Chen Hsueh, Chih-Chen Chan

J. Inf. Sci. Eng., 2018

2017

Discovering Group Skylines with Constraints by Early Candidate Pruning.

Ming-Yen Lin, Yueh-Lin Lin, Sue-Chen Hsueh

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016

Prediction of accrual expenses in balance sheet using decision trees and linear regression.

Chih-Yu Wang, Ming-Yen Lin

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2016

2015

Improving MapReduce-based Entity-resolution by Data-load Balancing.

Ming-Yen Lin, Tien-Jing Wang, Sue-Chen Hsueh

Proceedings of the ASE BigData & SocialInformatics 2015, 2015

2014

Design of a DSP-based biaxial solar tracking system.

Chin-Wang Tao, Ming-Yen Lin, Chen-Chia Chuang, Tsu-Tian Lee, Chia-Wen Chang

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

2013

Improving classification accuracy of associative classifiers by using k-conflict-rule preservation.

Ming-Yen Lin, Tsung-Che Li, Sue-Chen Hsueh

Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, 2013

2012

High utility pattern mining using the maximal itemset property and lexicographic tree structures.

Ming-Yen Lin, Tzer-Fu Tu, Sue-Chen Hsueh

Inf. Sci., 2012

Apriori-based frequent itemset mining algorithms on MapReduce.

Ming-Yen Lin, Pei-Yu Lee, Sue-Chen Hsueh

Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, 2012

Incremental update on probabilistic frequent itemsets in uncertain databases.

Ming-Yen Lin, Cheng-Tai Fu, Sue-Chen Hsueh

Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, 2012

2010

Interactive stream mining of maximal frequent itemsets allowing flexible time intervals and support thresholds.

Ming-Yen Lin, Sue-Chen Hsueh, Chien-Hsiang Tung

Proceedings of the 4th International Conference on Ubiquitous Information Management and Communication, 2010

2009

Time-Constrained Sequential Pattern Mining.

Ming-Yen Lin

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Mining Sequential Patterns for Image Classification in Ubiquitous Multimedia Systems.

Ming-Yen Lin, Sue-Chen Hsueh, Ming-Hong Chen, Hong-Yang Hsu

Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009

Incremental Discovery of Sequential Patterns Using a Backward Mining Approach.

Ming-Yen Lin, Sue-Chen Hsueh, Chih-Chen Chan

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008

Mining Closed Sequential Patterns with Time Constraints.

Ming-Yen Lin, Sue-Chen Hsueh, Chia-Wen Chang

J. Inf. Sci. Eng., 2008

Fast discovery of sequential patterns in large databases using effective time-indexing.

Ming-Yen Lin, Sue-Chen Hsueh, Chia-Wen Chang

Inf. Sci., 2008

Interactive Mining of Frequent Patterns in a Data Stream of Time-Fading Models.

Ming-Yen Lin, Sue-Chen Hsueh, Chung-Yi Wang

Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

Mining Negative Sequential Patterns for E-commerce Recommendations.

Sue-Chen Hsueh, Ming-Yen Lin, Chien-Liang Chen

Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008

Interactive Mining of Frequent Itemsets over Arbitrary Time Intervals in a Data Stream.

Ming-Yen Lin, Sue-Chen Hsueh, Sheng-Kun Hwang

Proceedings of the Database Technologies 2008. Proceedings of the Nineteenth Australasian Database Conference, 2008

2007

Mining Generalized Association Rules for Service Recommendations for Digital Home Applications.

Sue-Chen Hsueh, Ming-Yen Lin, Kun-Lin Lu

Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007

2006

Variable Support Mining of Frequent Itemsets over Data Streams Using Synopsis Vectors.

Ming-Yen Lin, Sue-Chen Hsueh, Sheng-Kun Hwang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Fast Discovery of Time-Constrained Sequential Patterns Using Time-Indexes.

Ming-Yen Lin, Sue-Chen Hsueh, Chia-Wen Chang

Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005

Efficient mining of sequential patterns with time constraints by delimited pattern growth.

Ming-Yen Lin, Suh-Yin Lee

Knowl. Inf. Syst., 2005

Fast Discovery of Sequential Patterns through Memory Indexing and Database Partitioning.

Ming-Yen Lin, Suh-Yin Lee

J. Inf. Sci. Eng., 2005

2004

Interactive sequence discovery by incremental mining.

Ming-Yen Lin, Suh-Yin Lee

Inf. Sci., 2004

Incremental update on sequential patterns in large databases by implicit merging and efficient counting.

Ming-Yen Lin, Suh-Yin Lee

Inf. Syst., 2004

2003

Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery.

Ming-Yen Lin, Suh-Yin Lee

Proceedings of the 36th Hawaii International Conference on System Sciences (HICSS-36 2003), 2003

2002

DELISP: Efficient Discovery of Generalized Sequential Patterns by Delimited Pattern-Growth Technology.

Ming-Yen Lin, Suh-Yin Lee, Sheng-Shun Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Fast Discovery of Sequential Patterns by Memory Indexing.

Ming-Yen Lin, Suh-Yin Lee

Proceedings of the Data Warehousing and Knowledge Discovery, 4th International Conference, 2002

2000

A Fast Lexicographic Algorithm for Association Rule Mining in Web Applications.

Ming-Yen Lin, Suh-Yin Lee

Proceedings of the 2000 ICDCS Workshops, April 10, 2000, Taipei, Taiwan, ROC, 2000

1998

Incremental update on sequential patterns in large databases.

Ming-Yen Lin, Suh-Yin Lee

Proceedings of the Tenth IEEE International Conference on Tools with Artificial Intelligence, 1998