Pattern Discovery Related Publications - Data Engineering Lab., Ochanomizu Univ.

2025

Yui Aoyagi, Hieu Hanh Le, Ryosuke Matsuo, Tomoyoshi Yamazaki, Haruo Yokota, Masato Oguchi. “Improving the Efficiency of Interactive Sequential Pattern Mining by Closed Pattern Discovery”, Proceeding of the 21st International Conference on Advanced Data Mining and Applications (ADMA 2025) Part IV, pp. 248-256, Oct. 2025.
Links:Final paper / Slide
Miwa Sugitani, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Masato Oguchi, Haruo Yokota, Hieu Hanh Le. “Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data”, Proceeding of the IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS 2025), pp. 514-515, Poster, Jun. 2025.
Links:Final paper / Poster

Miwa Sugitani, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Masato Oguchi, Haruo Yokota, Hieu Hanh Le. “Statistical Analysis and Visualization of Medical Instruction Patterns in Multimedia-Rich Electronic Medical Records”, Proceeding of the eighth IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2025), pp. 376-382, Aug. 2025.
Links:Final paper / Slide / Demo Video

Hieu Hanh Le, Yuki Yasumitsu, Ryosuke Matsuo, Tomoyoshi Yamazaki, Haruo Yokota. “A Clustering-based Sequence Variants Analysis Method for Electronic Medical Records of Multimedical Institutions”, Proceedings of the IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR 2024), pp. 653-659, Aug. 2024.
Links:Final paper / Slide

Hieu Hanh Le, Tatsuhiro Yamada, Yuichi Honda, Takatoshi Sakamoto, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Methods for Analyzing Medical-Order Sequence Variants in Sequential Pattern Mining for Electronic Medical Record Systems”, ACM Transactions on Computing for Healthcare, Vol. 4, No. 1, pp. 3:1-3:28, Mar. 2023.
Links:Open Access

Zitai Zhao, Yuki Yasumitsu, Hieu Hanh Le, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Analysis of Transitions in Differences between Frequent Medical-order Sequences for COVID-19”, Proceeding of the 36th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2023), pp. 666-671, Jun. 2023.

Yuqing Li, Hieu Hanh Le, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Comparison of Sequence Variants and the Application in Electronic Medical Records”, Proceeding of the 33rd International Conference on Database and Expert Systems Applications (DEXA 2022), pp. 117-130, Aug. 2022.

Berjab Nesrine, Hieu Hanh Le, Haruo Yokota. “A Spatiotemporal and Multivariate Attribute Correlation Extraction Scheme for Detecting Abnormal Nodes in WSNs”, IEEE Access, Vol. 9, pp. 135266 - 135284, Sep. 2021.
Links:Open Access

Hieu Hanh Le, Yutaka Horino, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Sequential Pattern Mining of Large Combinable Items with Values for a Set-of-items Recommendation”, Proceeding of the 34th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2021), pp. 56-61, Jun. 2021.

Muneo Kushima, Yuichi Honda, Hieu Hanh Le, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Extraction and Graph Structuring of Variants By Detecting Common Parts of Frequent Clinical Pathways”, Transactions on Engineering Technologies. IMECS 2018, pp. 207-218, Oct. 2019.

Hieu Hanh Le, Tatsuhiro Yamada, Yuichi Honda, Masaaki Kayahara, Muneo Kushima, Kenji Araki, Haruo Yokota. “Effects of Mining Parameters on the Performance of the Sequence Pattern Variants Analyzing Method Applied to Electronic Medical Record Systems”, Proceeding of the 21st International Conference on Information Integration and Web-based Applications & Services (iiWAS 2019), pp. 127-135, Dec. 2019.
Hieu Hanh Le, Tatsuhiro Yamada, Yuichi Honda, Masaaki Kayahara, Muneo Kushima, Kenji Araki, Haruo Yokota. “Analyzing Sequence Pattern Variants in Sequential Pattern Mining and its Application to Electronic Medical Record Systems”, Proceeding of the 30th International Conference on Database and Expert Systems Applications (DEXA 2019), pp. 393-408, Aug. 2019.
Hieu Hanh Le, Muneo Kushima, Kenji Araki, Haruo Yokota. “Differentially Private Sequential Pattern Mining considering Time Interval for Electronic Medical Record Systems”, Proceeding of the 23rd International Database Engineering & Applications Symposium (IDEAS 2019), pp. 95-103, Jun. 2019.

Nesrine Berjab, Hieu Hanh Le, Chia-Mu Yu, Sy-Yen Kuo, Haruo Yokota. “Fuzzy logic and ECA rules-based misbehaving-node detection for cluster-based heterogeneous IoT systems”, Proceeding of the 11th Forum on Data Engineering and Information Management, A8-1, Mar. 2019.

Hieu Hanh Le. “Time-interval Sequential Pattern Mining for Electronic Medical Record Systems with considering Differential Privacy”, The Intelligent IoT Environment Workshop, Sep. 2019.

Muneo Kushima, Yuichi Honda, Hieu Hanh Le, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Visualization and Analysis of Variants in Catheter Ablation's Clinical Pathways from Electronic Medical Record Logs”, Proceeding of the 2018 IAENG International Conference on Data Mining and Applications (ICDMA 2018), pp. 271-275, Mar. 2018.

Hieu Hanh Le. “Sequential Pattern Mining on Electronic Medical Record Systems with considering Differential Privacy”, Proceeding of the 3rd Japan-Taiwan Workshop on Secure and Dependable IoT Systems, Sep. 2018.

Hieu Hanh Le, Henrik Edman, Yuichi Honda, Muneo Kushima, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Fast Generation of Clinical Pathways Including Time Intervals in Sequential Pattern Mining on Electronic Medical Record Systems”, Proceeding of the Fourth International Conference on Computational Science and Computational Intelligence (CSCI 2017), pp. 1726-1731, Dec. 2017.