V. Tseng

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

A Brief Survey of Genetic-Fuzzy Data Mining Techniques

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2008 .

A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2007, 2007 IEEE Congress on Evolutionary Computation.

Leveraging Multimodal Deep Learning Architecture with Retina Lesion Information to Detect Diabetic Retinopathy

Vincent S. Tseng, Ching-Long Chen, Chang-Min Liang, 2020, Translational vision science & technology.

SPMF: a Java open-source pattern mining library

Antonio Gomariz, Vincent S. Tseng, Philippe Fournier-Viger, 2014, J. Mach. Learn. Res..

Advances in Knowledge Discovery and Data Mining

Jian Pei, Guandong Xu, Longbing Cao, 2014, Lecture Notes in Computer Science.

PURL: Periodic User Representation Learning from Temporal Event Records for Personalized Health Management

Vincent S. Tseng, Chih-Ling Hsu, Yu Huang, 2020, 2020 IEEE International Conference on Big Data and Smart Computing (BigComp).

Mining Top-K Non-redundant Association Rules

Vincent S. Tseng, Philippe Fournier-Viger, V. Tseng, 2012, ISMIS.

Prenatal exposure to air pollutants and childhood atopic dermatitis and allergic rhinitis adopting machine learning approaches: 14-year follow-up birth cohort study.

V. Tseng, Y. Guo, H. Wen, 2021, The Science of the total environment.

Discovering relational-based association rules with multiple minimum supports on microarray datasets

Vincent S. Tseng, Yu-Cheng Liu, Chun-Pei Cheng, 2011, Bioinform..

Speeding up genetic-fuzzy mining by fuzzy clustering

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Design of an Integrated and Effective Platform for Gene Expression Data Mining

Vincent S. Tseng, Lien-Chin Chen, Jian-Jie Liu, 2004 .

Mining Top-K Sequential Rules

Vincent S. Tseng, Philippe Fournier-Viger, V. Tseng, 2011, ADMA.

Agent-based optimization of biological response networks

Vincent S. Tseng, Chien-Feng Huang, Yu-Feng Lin, 2010, 2010 International Computer Symposium (ICS2010).

Mining Disease Risk Patterns from Nationwide Clinical Databases for the Assessment of Early Rheumatoid Arthritis Risk

Vincent S. Tseng, V. Tseng, Chu-Yu Chin, 2015, PloS one.

An Effective Approach for Mining Time-Series Gene Expression Profile

Vincent S. Tseng, Yen-Lo Chen, V. Tseng, 2006, Foundations and Novel Approaches in Data Mining.

Semantic trajectory mining for location prediction

Wang-Chien Lee, Vincent S. Tseng, Jia-Ching Ying, 2011, GIS.

Wang-Chien Lee, Eric Hsueh-Chan Lu, Vincent S. Tseng, 2010, LBSN '10.

Predicting Ventricular Fibrillation Through Deep Learning

Vincent S. Tseng, Li-Ming Tseng, V. Tseng, 2020, IEEE Access.

Efficiently mining gene expression data via a novel parameterless clustering method

V.S. Tseng, Ching-Pin Kao, V. Tseng, 2005, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Transfer Learning on High Variety Domains for Activity Recognition

Vincent S. Tseng, Sun-Yuan Hsieh, Josh Jia-Ching Ying, 2015, ASE BD&SI.

ERMiner: Sequential Rule Mining Using Equivalence Classes

Vincent S. Tseng, Philippe Fournier-Viger, Ted Gueniche, 2014, IDA.

A Big Data Analytical Framework for Sports Behavior Mining and Personalized Health Services

Vincent S. Tseng, Chih-Hsin Chou, Kai-Qi Yang, 2017, 2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Identification of tyrosine-phosphorylated proteins associated with lung cancer metastasis using label-free quantitative analyses.

Lien-Chin Chen, Hsin-Yi Wu, Hui-Yin Chang, 2010, Journal of proteome research.

Mining differential top-k co-expression patterns from time course comparative gene expression datasets

V. Tseng, Chun-Pei Cheng, Yu-Cheng Liu, 2013, BMC Bioinformatics.

An interactive healthcare system with personalized diet and exercise guideline recommendation

Vincent S. Tseng, Yu-Feng Lin, Miin-Luen Day, 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

An intelligent recommender system based on predictive analysis in telehealthcare environment

Ji Zhang, Yonglong Luo, Yan Li, 2016, Web Intell..

An Intelligent Recommender System Based on Short-Term Risk Prediction for Heart Disease Patients

Ji Zhang, Yan Li, Vincent S. Tseng, 2015, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

Trading decryption for speeding encryption in Rebalanced-RSA

Hung-Min Sun, Mu-En Wu, Cheng-Ta Yang, 2009, J. Syst. Softw..

Preference-Aware Community Detection for Item Recommendation

Vincent S. Tseng, Jia-Ching Ying, Shun-Chieh Lin, 2013, 2013 Conference on Technologies and Applications of Artificial Intelligence.

Mining Emerging High Utility Itemsets over Streaming Database

Philip S. Yu, Vincent S. Tseng, Yu Huang, 2019, ADMA.

Mining high-utility itemsets in dynamic profit databases

Vincent S. Tseng, Philippe Fournier-Viger, Bay Vo, 2019, Knowl. Based Syst..

Efficient Algorithms for Mining Top-K High Utility Itemsets

Philip S. Yu, Vincent S. Tseng, Philippe Fournier-Viger, 2016, IEEE Transactions on Knowledge and Data Engineering.

EFIM: A Highly Efficient Algorithm for High-Utility Itemset Mining

Vincent S. Tseng, Philippe Fournier-Viger, Chun-Wei Lin, 2015, MICAI.

FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning

Vincent S. Tseng, Philippe Fournier-Viger, Cheng-Wei Wu, 2014, ISMIS.

On-shelf utility mining with negative item values

Tzung-Pei Hong, Vincent S. Tseng, Guo-Cheng Lan, 2014, Expert Syst. Appl..

Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases

Philip S. Yu, Vincent S. Tseng, Bai-En Shie, 2013, IEEE Transactions on Knowledge and Data Engineering.

An efficient projection-based indexing approach for mining high utility itemsets

Tzung-Pei Hong, Vincent S. Tseng, Guo-Cheng Lan, 2012, Knowledge and Information Systems.

Discovery of high utility itemsets from on-shelf time periods of products

Tzung-Pei Hong, Vincent S. Tseng, Guo-Cheng Lan, 2011, Expert Syst. Appl..

UP-Growth: an efficient algorithm for high utility itemset mining

Philip S. Yu, Vincent S. Tseng, Bai-En Shie, 2010, KDD.

An efficient algorithm for mining high utility itemsets with negative item values in large databases

Vincent S. Tseng, Tyne Liang, Chun-Jung Chu, 2009, Appl. Math. Comput..

MULTI-OBJECTIVE GENETIC-FUZZY DATA MINING

Tzung-Pei Hong, Vincent S. Tseng, Lien-Chin Chen, 2012 .

Finding Pareto-front Membership Functions in Fuzzy Data Mining

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2012, Int. J. Comput. Intell. Syst..

A SPEA2-based genetic-fuzzy mining algorithm

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2010, International Conference on Fuzzy Systems.

A multi-objective genetic-fuzzy mining algorithm

Tzung-Pei Hong, Vincent S. Tseng, Lien-Chin Chen, 2008, 2008 IEEE International Conference on Granular Computing.

An Efficient Algorithm for Mining High Utility Quantitative Itemsets

Vincent S. Tseng, Cheng-Wei Wu, JianTao Huang, 2019, 2019 International Conference on Data Mining Workshops (ICDMW).

Efficient algorithms for mining high-utility itemsets in uncertain databases

Tzung-Pei Hong, Vincent S. Tseng, Philippe Fournier-Viger, 2016, Knowl. Based Syst..

Efficient vertical mining of high utility quantitative itemsets

Vincent S. Tseng, Cheng-Wei Wu, Chia Hua Li, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

Cluster-based genetic segmentation of time series with DWT

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2009, Pattern Recognit. Lett..

Convolutional neural network based automatic screening tool for cardiovascular diseases using different intervals of ECG signals

Vincent S. Tseng, Hsin-Ginn Hwang, Hao Dai, 2021, Comput. Methods Programs Biomed..

Preference-oriented mining techniques for location-based store search

Eric Hsueh-Chan Lu, Vincent S. Tseng, Jess Soo-Fong Tan, 2011, Knowledge and Information Systems.

Mining fastest path from trajectories with multiple destinations in road networks

Wang-Chien Lee, Eric Hsueh-Chan Lu, Vincent S. Tseng, 2011, Knowledge and Information Systems.

On the Security of Some Proxy Blind Signature Schemes

Hung-Min Sun, Vincent S. Tseng, Bin-Tsan Hsieh, 2005, ACSW.

Personalized Music Recommendation by Mining Social Media Tags

Vincent S. Tseng, Ja-Hwung Su, Wei-Yi Chang, 2013, KES.

Spatio-attention embedded recurrent neural network for air quality prediction

Vincent S. Tseng, Josh Jia-Ching Ying, Yu Huang, 2021, Knowl. Based Syst..

Mining phosphopeptide signals in liquid chromatography-mass spectrometry data for protein phosphorylation analysis.

Hsin-Yi Wu, Pao-Chi Liao, V. Tseng, 2007, Journal of proteome research.

Efficient Relevance Feedback for Content-Based Image Retrieval by Mining User Navigation Patterns

Philip S. Yu, Vincent S. Tseng, Ja-Hwung Su, 2011, IEEE Transactions on Knowledge and Data Engineering.

Finding Active Membership Functions for Genetic-Fuzzy Data Mining

Tzung-Pei Hong, Yeong-Chyi Lee, Vincent S. Tseng, 2015, Int. J. Inf. Technol. Decis. Mak..

Fuzzy data mining for time-series data

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2012, Appl. Soft Comput..

Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2011, Soft Comput..

Genetic-Fuzzy Data Mining Techniques

Tzung-Pei Hong, V. Tseng, T. Hong, 2007, 2010 IEEE International Conference on Granular Computing.

Mining fuzzy frequent trends from time series

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2009, Expert Syst. Appl..

Mining Linguistic Trends from Time Series

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2008, Data Mining: Foundations and Practice.

Fining Active Membership Functions in Fuzzy Data Mining

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2008, Data Mining: Foundations and Practice.

Cluster-Based Evaluation in Fuzzy-Genetic Data Mining

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2008, IEEE Transactions on Fuzzy Systems.

A genetic-fuzzy mining approach for items with multiple minimum supports

Tzung-Pei Hong, Vincent S. Tseng, Chang-Shing Lee, 2007, 2007 IEEE International Fuzzy Systems Conference.

A Comparison of Different Fitness Functions for Extracting Membership Functions Used in Fuzzy Data Mining

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.

A Less Domain-dependent Fuzzy Mining Algorithm for Frequent Trends

V. Tseng, T. Hong, Chun-Hao Chen, 2006, 2006 IEEE International Conference on Fuzzy Systems.

A Cluster-Based Fuzzy-Genetic Mining Approach for Association Rules and Membership Functions

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Analyzing time-series data by fuzzy data-mining technique

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2005, 2005 IEEE International Conference on Granular Computing.

Efficiently mining uncertain high-utility itemsets

Tzung-Pei Hong, Vincent S. Tseng, Philippe Fournier-Viger, 2017, Soft Comput..

EFIM: a fast and memory efficient algorithm for high-utility itemset mining

Vincent S. Tseng, Philippe Fournier-Viger, Chun-Wei Lin, 2016, Knowledge and Information Systems.

Mining high-utility itemsets with various discount strategies

Tzung-Pei Hong, Vincent S. Tseng, Philippe Fournier-Viger, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Efficient algorithms for mining up-to-date high-utility patterns

Tzung-Pei Hong, Vincent S. Tseng, Wensheng Gan, 2015, Adv. Eng. Informatics.

Discovering utility-based episode rules in complex event sequences

Vincent S. Tseng, Chien-Feng Huang, Cheng-Wei Wu, 2015, Expert Syst. Appl..

Mining geographic-temporal-semantic patterns in trajectories for location prediction

Wang-Chien Lee, Vincent S. Tseng, Jia-Ching Ying, 2013, ACM Trans. Intell. Syst. Technol..

Integrated Mining of Visual Features, Speech Features, and Frequent Patterns for Semantic Video Annotation

Vincent S. Tseng, Ja-Hwung Su, Chih-Jen Chen, 2008, IEEE Transactions on Multimedia.

FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection

Che-Wei Huang, Vincent S. Tseng, Kuan-Ta Chen, 2015, KDD.

Large-scale Classification of 12-lead ECG with Deep Learning

Chien-Liang Liu, Vincent S. Tseng, Yu-Jhen Chen, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Stable High Utility Itemset Mining

Philippe Fournier-Viger, Acquah Hackman, Vincent Tseng, 2021, iiWAS.

Efficient Mining of Uncertain Data for High-Utility Itemsets

Vincent S. Tseng, Philippe Fournier-Viger, Chun-Wei Lin, 2016, WAIM.

Mining Potential High-Utility Itemsets over Uncertain Databases

Tzung-Pei Hong, Jerry Chun-Wei Lin, Vincent S. Tseng, 2015, ASE BD&SI.

Hewin: High expected weighted itemset mining in uncertain databases

Tzung-Pei Hong, Vincent S. Tseng, Wensheng Gan, 2015, 2015 International Conference on Machine Learning and Cybernetics (ICMLC).

Mining Top-K Association Rules

Vincent S. Tseng, Philippe Fournier-Viger, Cheng-Wei Wu, 2012, Canadian Conference on AI.

A fast algorithm for mining frequent closed itemsets over stream sliding window

Yue-Shi Lee, Show-Jane Yen, Vincent S. Tseng, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Projection-Based Utility Mining with an Efficient Indexing Mechanism

Tzung-Pei Hong, Vincent S. Tseng, Guo-Cheng Lan, 2010, 2010 International Conference on Technologies and Applications of Artificial Intelligence.

Applying the maximum utility measure in high utility sequential pattern mining

Tzung-Pei Hong, Vincent S. Tseng, Guo-Cheng Lan, 2014, Expert Syst. Appl..

Efficient algorithms for discovering high utility user behavior patterns in mobile commerce environments

Vincent S. Tseng, Bai-En Shie, Hui-Fang Hsiao, 2013, Knowledge and Information Systems.

Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets

Philip S. Yu, Vincent S. Tseng, Philippe Fournier-Viger, 2011, 2011 IEEE 11th International Conference on Data Mining.

Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments

Philip S. Yu, Vincent S. Tseng, Bai-En Shie, 2011, DASFAA.

A novel prediction-based strategy for object tracking in sensor networks by mining seamless temporal movement patterns

Vincent S. Tseng, Kawuu Weicheng Lin, Ming-Hua Hsieh, 2010, Expert Syst. Appl..

Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets

Philip S. Yu, Vincent S. Tseng, Philippe Fournier-Viger, 2015, IEEE Transactions on Knowledge and Data Engineering.

Efficient algorithms for mining maximal high utility itemsets from data streams with different models

Philip S. Yu, Vincent S. Tseng, Bai-En Shie, 2012, Expert Syst. Appl..

Efficiently Mining High Average-Utility Itemsets with an Improved Upper-Bound Strategy

Tzung-Pei Hong, Vincent S. Tseng, Guo-Cheng Lan, 2012, Int. J. Inf. Technol. Decis. Mak..

Mining closed+ high utility itemsets without candidate generation

Vincent S. Tseng, Philippe Fournier-Viger, Cheng-Wei Wu, 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

An efficient algorithm for mining temporal high utility itemsets from data streams

Vincent S. Tseng, Tyne Liang, Chun-Jung Chu, 2008, J. Syst. Softw..

Mining High Utility Itemsets in Big Data

Vincent S. Tseng, Cheng-Wei Wu, Ying Chun Lin, 2015, PAKDD.

RuleGrowth: mining sequential rules common to several sequences by pattern-growth

Vincent S. Tseng, Philippe Fournier-Viger, Roger Nkambou, 2011, SAC.

Efficient Mining of High-Utility Sequential Rules

Vincent S. Tseng, Philippe Fournier-Viger, Chun-Wei Lin, 2015, MLDM.

Novel Concise Representations of High Utility Itemsets Using Generator Patterns

Vincent S. Tseng, Philippe Fournier-Viger, Cheng-Wei Wu, 2014, ADMA.

Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining

Vincent S. Tseng, Cheng-Hung Tsai, Sun-Wei Liu, 2017, ADMA.

A Projection-Based Approach for Discovering High Average-Utility Itemsets

Tzung-Pei Hong, Vincent S. Tseng, Guo-Cheng Lan, 2012, J. Inf. Sci. Eng..

Prediction of user navigation patterns by mining the temporal web usage evolution

Vincent S. Tseng, Kawuu Weicheng Lin, Jeng-Chuan Chang, 2008, Soft Comput..

Parallel Mining of Top-k High Utility Itemsets in Spark In-Memory Computing Architecture

Vincent S. Tseng, Chun-Han Lin, JianTao Huang, 2019, PAKDD.

EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets

Vincent S. Tseng, Philippe Fournier-Viger, Chun-Wei Lin, 2016, MLDM.

Online mining of temporal maximal utility itemsets from data streams

Philip S. Yu, Vincent S. Tseng, Bai-En Shie, 2010, SAC '10.

Using Partially-Ordered Sequential Rules to Generate More Accurate Sequence Prediction

Vincent S. Tseng, Philippe Fournier-Viger, Ted Gueniche, 2012, ADMA.

Mining Partially-Ordered Sequential Rules Common to Multiple Sequences

Longbing Cao, Vincent S. Tseng, Philippe Fournier-Viger, 2015, IEEE Trans. Knowl. Data Eng..

Efficient methods for mining weighted clickstream patterns

Vincent S. Tseng, Huy M. Huynh, Anh Tuan Nguyen, 2020, Expert Syst. Appl..

Mining Minimal High-Utility Itemsets

Vincent S. Tseng, Philippe Fournier-Viger, Chun-Wei Lin, 2016, DEXA.

Efficiently mining high utility sequential patterns in static and streaming data

Vincent S. Tseng, Aijun An, Morteza Zihayat, 2017, Intell. Data Anal..

A One-Phase Method for Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments

Vincent S. Tseng, Kun-Ta Chuang, Bai-En Shie, 2012, IEA/AIE.

Mining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based Service Environments

Philip S. Yu, Eric Hsueh-Chan Lu, Vincent S. Tseng, 2011, IEEE Transactions on Knowledge and Data Engineering.

Location semantics prediction for living analytics by mining smartphone data

Zhi-Hua Zhou, Vincent S. Tseng, Jia-Ching Ying, 2014, 2014 International Conference on Data Science and Advanced Analytics (DSAA).

Mining Users' Behaviors and Environments for Semantic Place Prediction

Vincent S. Tseng, Chi-Min Huang, Josh Jia-Ching Ying, 2012 .

Demographic Prediction Based on User's Mobile Behaviors

Vincent S. Tseng, Chi-Min Huang, Yao-Jen Chang, 2012 .

A Cluster-Based Divide-and-Conquer Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports

V. Tseng, T. Hong, Chun-Hao Chen, 2010, International Conference on Technologies and Applications of Artificial Intelligence.

A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2008, PAKDD.

Mining Fuzzy Association Patterns in Gene Expression Databases

Vincent S. Tseng, Chun-Hao Chen, Yen-Hsu Chen, 2006 .

Music Recommendation Using Content and Context Information Mining

Philip S. Yu, Vincent S. Tseng, Ja-Hwung Su, 2010, IEEE Intelligent Systems.

Discovering Valuable User Behavior Patterns in Mobile Commerce Environments

Philip S. Yu, Vincent S. Tseng, Bai-En Shie, 2011, PAKDD Workshops.

An energy-efficient approach for real-time tracking of moving object in multi-level sensor networks

Eric Hsueh-Chan Lu, Vincent S. Tseng, Kawuu Weicheng Lin, 2005, 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'05).

Personalized trip recommendation with multiple constraints by mining user check-in behaviors

Eric Hsueh-Chan Lu, Ching-Yu Chen, Vincent S. Tseng, 2012, SIGSPATIAL/GIS.

Effective content-based video retrieval using pattern-indexing and matching techniques

Vincent S. Tseng, Ja-Hwung Su, Yu-Ting Huang, 2010, Expert Syst. Appl..

Vincent S. Tseng, Ching-Pin Kao, V. Tseng, 2007, IEEE Transactions on Fuzzy Systems.

Mining User Check-In Behavior with a Random Walk for Urban Point-of-Interest Recommendations

Eric Hsueh-Chan Lu, Vincent S. Tseng, Jia-Ching Ying, 2014, TIST.

Trip-Mine: An Efficient Trip Planning Approach with Travel Time Constraints

Eric Hsueh-Chan Lu, Vincent S. Tseng, Chih-Yuan Lin, 2011, 2011 IEEE 12th International Conference on Mobile Data Management.

Effective Semantic Annotation by Image-to-Concept Distribution Model

Chien-Li Chou, Ching-Yung Lin, Vincent S. Tseng, 2011, IEEE Transactions on Multimedia.

FrauDetector+: An Incremental Graph-Mining Approach for Efficient Fraudulent Phone Call Detection

Ji Zhang, Che-Wei Huang, Vincent S. Tseng, 2018, ACM Trans. Knowl. Discov. Data.

Cryptanalysis of Aydos et al.'s ECC-based wireless authentication protocol

Hung-Min Sun, Vincent S. Tseng, Bin-Tsan Hsieh, 2004, IEEE International Conference on e-Technology, e-Commerce and e-Service, 2004. EEE '04. 2004.

Urban point-of-interest recommendation by mining user check-in behaviors

Wen-Ning Kuo, Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, 2012, UrbComp '12.

Effective peak alignment for mass spectrometry data analysis using two-phase clustering approach

Vincent S. Tseng, Lien-Chin Chen, Yu-Cheng Liu, 2014, Int. J. Data Min. Bioinform..

A two-phase clustering approach for peak alignment in mining mass spectrometry data

Vincent S. Tseng, Lien-Chin Chen, Yu-Cheng Liu, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop.

A Framework for Personal Mobile Commerce Pattern Mining and Prediction

Wang-Chien Lee, Eric Hsueh-Chan Lu, Vincent S. Tseng, 2012, IEEE Transactions on Knowledge and Data Engineering.

Mining Cluster-Based Mobile Sequential Patterns in Location-Based Service Environments

Eric Hsueh-Chan Lu, Vincent S. Tseng, V. Tseng, 2009, 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware.

Mining sequential mobile access patterns efficiently in mobile Web systems

Vincent S. Tseng, Kawuu Weicheng Lin, V. Tseng, 2005, 19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 1 (AINA papers).

A novel data mining mechanism considering bio-signal and environmental data with applications on asthma monitoring

Vincent S. Tseng, Chao-Hui Lee, Jessie Chia-Yu Chen, 2011, Comput. Methods Programs Biomed..

Combining alkaline phosphatase treatment and hybrid linear ion trap/Orbitrap high mass accuracy liquid chromatography-mass spectrometry data for the efficient and confident identification of protein phosphorylation.

Lien-Chin Chen, Hsin-Yi Wu, Peipei Ping, 2009, Analytical chemistry.

UP-Miner: A Utility Pattern Mining Toolbox

Vincent S. Tseng, Philippe Fournier-Viger, Jun-Han Lin, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

A scalable complex event analytical system with incremental episode mining over data streams

Vincent S. Tseng, Chu-Feng Li, Ching-Yu Chen, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism

Chien-Liang Liu, Vincent S. Tseng, En-Yu Hsu, 2019, PAKDD.

Prediction of regulatory gene pairs using dynamic time warping and gene ontology

Vincent S. Tseng, Timothy K. Shih, Hui-Huang Hsu, 2014, Int. J. Data Min. Bioinform..

Mining high utility episodes in complex event sequences

Philip S. Yu, Vincent S. Tseng, Cheng-Wei Wu, 2013, KDD.

PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification

Vincent S. Tseng, Chao-Hui Lee, V. Tseng, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Efficient mining of multilevel gene association rules from microarray and gene ontology

Vincent S. Tseng, Shih-Chiang Yang, Hsieh-Hui Yu, 2009, Inf. Syst. Frontiers.

Intelligent Concept-Oriented and Content-Based Image Retrieval by using data mining and query decomposition techniques

Vincent S. Tseng, Ja-Hwung Su, Bo-Wen Wang, 2008, 2008 IEEE International Conference on Multimedia and Expo.

FCBIR: A Fuzzy Matching Technique for Content-Based Image Retrieval

Vincent S. Tseng, Ja-Hwung Su, Wei-Jyun Huang, 2007, IFSA.

Classify By Representative Or Associations (CBROA): a hybrid approach for image classification

Vincent S. Tseng, Ja-Hwung Su, Chon-Jei Lee, 2005, MDM '05.

Mining multilevel and location-aware service patterns in mobile web environments

Vincent S. Tseng, Ching-Fu Tsui, V. Tseng, 2004, IEEE Trans. Syst. Man Cybern. Part B.

PTCR-MINER: AN EFFECTIVE RULE-BASED CLASSIFIER ON MULTIVARIATE TEMPORAL DATA CLASSIFICATION

Vincent S. Tseng, Chao-Hui Lee, V. Tseng, 2011 .

CBS: A New Classification Method by Using Sequential Patterns

Vincent S. Tseng, Chao-Hui Lee, V. Tseng, 2005, SDM.

Correction to: Database Systems for Advanced Applications

Jian Pei, Jianxin Li, Shazia Sadiq, 2018, International Conference on Database Systems for Advanced Applications.

Empirical analysis of multi-labeling algorithms for music emotion annotation

Vincent S. Tseng, Ja-Hwung Su, Yi-Cheng Tsai, 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

Semantic trajectory-based high utility item recommendation system

Eric Hsueh-Chan Lu, Vincent S. Tseng, Jia-Ching Ying, 2014, Expert Syst. Appl..

AutoAudit: Mining Accounting and Time-Evolving Graphs pdf

Leman Akoglu, Vincent S. Tseng, Christos Faloutsos, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Snippet Policy Network for Multi-Class Varied-Length ECG Early Classification pdf

Vincent S. Tseng, Gary G. Yen, Yu Huang, 2021, IEEE Transactions on Knowledge and Data Engineering.

Deep Discriminative Features Learning and Sampling for Imbalanced Data Problem

Chien-Liang Liu, Vincent S. Tseng, Yi-Hsun Liu, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Mining disease sequential risk patterns from nationwide clinical databases for early assessment of chronic obstructive pulmonary disease

Vincent S. Tseng, Yi-Ting Cheng, Yu-Feng Lin, 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

AN EFFICIENT GRADUAL PRUNING TECHNIQUE FOR UTILITY MINING

Tzung-Pei Hong, Vincent S. Tseng, Guo-Cheng Lan, 2012 .

Convolutional neural network based automatic screening tool for cardiovascular diseases using different intervals of ECG signals

V. Tseng, Hsin-Ginn Hwang, Hao Dai, 2021, Comput. Methods Programs Biomed..

A novel method for mining temporally dependent association rules in three-dimensional microarray datasets

Vincent S. Tseng, Yu-Cheng Liu, Hui-Huang Hsu, 2010, 2010 International Computer Symposium (ICS2010).

CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree

Vincent S. Tseng, Philippe Fournier-Viger, Ted Gueniche, 2015, PAKDD.

Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction

Vincent S. Tseng, Philippe Fournier-Viger, Ted Gueniche, 2013, ADMA.

Computational Intelligence Techniques for Combating COVID-19: A Survey

Jiming Liu, Vincent S. Tseng, Stephen T. C. Wong, 2020, IEEE Computational Intelligence Magazine.

Multivariate Time Series Early Classification Using Multi-Domain Deep Neural Network

Chien-Liang Liu, Vincent S. Tseng, Huai-Shuo Huang, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

Feature Selection for Medical Data Mining: Comparisons of Expert Judgment and Automatic Approaches

Chih-Ping Wei, Vincent S. Tseng, Tsang-Hsiang Cheng, 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

Parallel big image data retrieval by conceptualised clustering and un-conceptualised clustering

Vincent S. Tseng, Ja Hwung Su, Chu Yu Chin, 2019, Int. J. High Perform. Comput. Netw..

Effective Ranking and Recommendation on Web Page Retrieval by Integrating Association Mining and PageRank

Vincent S. Tseng, Ja-Hwung Su, Bo-Wen Wang, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Mining Sequential Risk Patterns From Large-Scale Clinical Databases for Early Assessment of Chronic Diseases: A Case Study on Chronic Obstructive Pulmonary Disease

Vincent S. Tseng, Yi-Ting Cheng, Yu-Feng Lin, 2017, IEEE Journal of Biomedical and Health Informatics.

Multi-Modal Image Retrieval by Integrating Web Image Annotation, Concept Matching and Fuzzy Ranking Techniques

Chien-Li Chou, Vincent S. Tseng, Tien-Yu Hsu, 2010 .

DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition

Vincent S. Tseng, Chien Chen, Jia-Ching Ying, 2019, ADMA.

Emerging Product Topics Prediction in Social Media without Social Structure Information

Vincent S. Tseng, Man-Kwan Shan, Che-Wei Liang, 2018, WWW.

Malignant pleural effusion cells show aberrant glucose metabolism gene expression

Chi-Ying F. Huang, Chi-Hung Lin, V. Tseng, 2010, European Respiratory Journal.

Application of deep learning algorithm to detect and visualize vertebral fractures on plain frontal radiographs

V. Tseng, Rong-Sen Yang, Benny Wei-Yun Hsu, 2021, PloS one.

Analysis and Prevention of Dispension Errors by Using Data Mining Techniques

Vincent S. Tseng, Chun-Hao Chen, Hsiao-Ming Chen, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Mining temporal mobile sequential patterns in location-based service environments

Eric Hsueh-Chan Lu, Vincent S. Tseng, Cheng-Hsien Huang, 2007, 2007 International Conference on Parallel and Distributed Systems.

Mining Sequential Rules Common to Several Sequences with the Window Size Constraint

Vincent S. Tseng, Philippe Fournier-Viger, Roger Nkambou, 2012, Canadian Conference on AI.

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

Marianne Winslett, Jimeng Sun, Ada Fu, 2017, CIKM.

A Multi-information Based Gene Scoring Method for Analysis of Gene Expression Data

Vincent S. Tseng, Hsieh-Hui Yu, Jiin-Haur Chuang, 2006, Trans. Comp. Sys. Biology.

A novel music recommender by discovering preferable perceptual-patterns from music pieces

Vincent S. Tseng, Ja-Hwung Su, Hsin-Ho Yeh, 2010, SAC '10.

Personalized rough-set-based recommendation by integrating multiple contents and collaborative information

Vincent S. Tseng, Ja-Hwung Su, Bo-Wen Wang, 2010, Inf. Sci..

Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques

Vincent S. Tseng, Ching-Pin Kao, V. Tseng, 2002, PAKDD.

Constrained Clustering for Gene Expression Data Mining

Vincent S. Tseng, Lien-Chin Chen, Ching-Pin Kao, 2008, PAKDD.

A novel two-level clustering method for time series data analysis

Vincent S. Tseng, Pau-Choo Chung, Cheng-Ping Lai, 2010, Expert Syst. Appl..

A novel method for personalized music recommendation

Vincent S. Tseng, Cheng-Che Lu, V. Tseng, 2009, Expert Syst. Appl..

Advances in Knowledge Discovery and Data Mining

Geoffrey I. Webb, Vincent S. Tseng, Dinh Q. Phung, 2018, Lecture Notes in Computer Science.

Efficient Mining of Temporal High Utility Itemsets from Data streams

Vincent S. Tseng, Tyne Liang, Chun-Jung Chu, 2006 .

Intelligent Multimedia Recommender by Integrating Annotation and Association Mining

Vincent S. Tseng, Ja-Hwung Su, Hsin-Ho Yeh, 2008, 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008).

GAWD: graph anomaly detection in weighted directed graph databases

Leman Akoglu, Vincent S. Tseng, Dimitris Berberidis, 2021, ASONAM.

A PIP-based evolutionary approach for time series segmentation and pattern discovery

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2010, 2010 International Computer Symposium (ICS2010).

Discovering negative comments by sentiment analysis on web forum

V. Tseng, Hui-Huang Hsu, Benny Wei-Yun Hsu, 2019, World Wide Web.

A pre-processing method to deal with missing values by integrating clustering and regression techniques

Vincent S. Tseng, Chien-I Lee, Kuo-Ho Wang, 2003, Appl. Artif. Intell..

A novel peak alignment method for LC-MS data analysis using cluster-based techniques

Vincent S. Tseng, Lien-Chin Chen, Yu-Cheng Liu, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Trends and Applications in Knowledge Discovery and Data Mining

Jian Pei, Longbing Cao, Kay Chen Tan, 2013, Lecture Notes in Computer Science.