World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
4841
World Ranking
8159
National Ranking
85

Overview

Suh-Yin Lee is affiliated with National Chiao Tung University in Taiwan and specializes in the field of Computer Science, with a focus on Information Systems, Artificial Intelligence, and Signal Processing. Their research encompasses topics related to Data Mining Algorithms and Applications, Data Stream Mining Techniques, and Data Management and Algorithms.

Their publication record includes research work published in venues such as Zenodo (CERN European Organization for Nuclear Research). One notable paper authored by Suh-Yin Lee is titled "Online Mining Changes of Items over Continuous Append-only and Dynamic Data Streams", published in 2020 in Zenodo (CERN European Organization for Nuclear Research), which has garnered a number of citations.

Frequent collaborators in their research include Hua-Fu Li and Man-Kwan Shan.

  • Computer Science
  • Information Systems
  • Artificial Intelligence
  • Signal Processing

  • Data Mining Algorithms and Applications
  • Data Stream Mining Techniques
  • Data Management and Algorithms

  • "Online Mining Changes of Items over Continuous Append-only and Dynamic Data Streams" (2020) in Zenodo (CERN European Organization for Nuclear Research)

  • Hua-Fu Li
  • Man-Kwan Shan

Best Publications

  • Spatial reasoning and similarity retrieval of images using 2D C-string knowledge representation

    Suh-Yin Lee;Fang-Jung Hsu

  • 2D C-string: a new spatial knowledge representation for image database systems

    Suh-Yin Lee;Fang-Jung Hsu

  • CIM: Community-Based Influence Maximization in Social Networks

    Yi-Cheng Chen;Wen-Yuan Zhu;Wen-Chih Peng;Wang-Chien Lee

  • Mining frequent itemsets over data streams using efficient window sliding techniques

    Unknown

  • Similarity retrieval of iconic image database

    Suh-Yin Lee;Man-Kwan Shan;Wei-Pang Yang

  • Human action recognition using star skeleton

    Unknown

  • Incremental update on sequential patterns in large databases

    Unknown

  • Pattern-Based Near-Duplicate Video Retrieval and Localization on Web-Scale Videos

    Unknown

  • Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams

    Unknown

  • Physics-based ball tracking and 3D trajectory reconstruction with applications to shooting location estimation in basketball video

    Unknown

  • An Efficient Algorithm for Mining Frequent Itemests over the Entire History of Data Streams

    Unknown

  • Emotion-based music recommendation by association discovery from film music

    Unknown

  • Ball tracking and 3D trajectory approximation with applications to tactics analysis from single-camera volleyball sequences

    Unknown

  • Yoga Posture Recognition for Self-training

    Unknown

  • Online mining (recently) maximal frequent itemsets over data streams

    Unknown

  • Mining Temporal Patterns in Time Interval-Based Data

    Yi-Cheng Chen;Wen-Chih Peng;Suh-Yin Lee

  • Signature file as a spatial filter for iconic image database

    Suh-Yin Lee;Ming-Chwen Yang;Ju-Wei Chen

  • On-line signature verification using LPC cepstrum and neural networks

    Unknown

  • Emotion-based music recommendation by affinity discovery from film music

    Unknown

  • Fast Discovery of Sequential Patterns by Memory Indexing

    Unknown

  • A video information system for sport motion analysis

    Chueh-Wei Chang;Suh-Yin Lee

  • Approximating False Hits of Disyllabic Terms in a Chinese Signature File.

    Tyne Liang;Suh-Yin Lee;Wei-Pang Yang

  • Robust video retrieval using temporal MVMB moments

    Duan-Yu Chen;Hong-Yuan Mark Liao;Suh-Yin Lee

Frequent Co-Authors

Chin-Chen Chang
Chin-Chen Chang Feng Chia University

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