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Komate Amphawan

Mining Top-K Periodic-Frequent Pattern from Transactional Databases without Support Threshold
2009 · Komate Amphawan, Philippe Lenca, et al. · Communications in computer and information science · 80
Mining Periodic-Frequent Itemsets with Approximate Periodicity Using Interval Transaction-Ids List Tree
2010 · K. Amphawan, A. Surarerks, et al. · 33
Mining top-k frequent-regular closed patterns
2015 · Komate Amphawan, Philippe Lenca · Expert Systems with Applications · 28
Mining top-k regular-frequent itemsets using database partitioning and support estimation
2011 · Komate Amphawan, Philippe Lenca, et al. · Expert Systems with Applications · 15
Efficient Mining Top-k Regular-Frequent Itemset Using Compressed Tidsets
2012 · Komate Amphawan, Philippe Lenca, et al. · Lecture notes in computer science · 13
A Hybrid POI Recommendation System Combining Link Analysis and Collaborative Filtering Based on Various Visiting Behaviors
2023 · Sumet Darapisut, Komate Amphawan, et al. · ISPRS International Journal of Geo-Information · 10
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Mining High Utility Itemsets with Regular Occurrence
2016 · Komate Amphawan, Philippe Lenca, et al. · Journal of ICT Research and Applications · 8
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Mining Top-k Frequent/Regular Patterns Based on User-Given Trade-Off between Frequency and Regularity
2013 · Komate Amphawan, Philippe Lenca · Communications in computer and information science · 8
A new system for analyzing contents of Computer Science courses
2020 · Peerapon Kamlangpuech, Komate Amphawan · International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA) · 5
Pushing regularity constraint on high utility itemsets mining
2015 · Komate Amphawan, Athasit Surarerks · International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA) · 5
Mining top-k Regular Episodes from Sensor Streams
2015 · Komate Amphawan, Julie Soulas, et al. · Procedia Computer Science · 5
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Supplementary Book Suggestion for Computer Science Courses
2018 · Benchamawan Chaisoongnoen, Komate Amphawan, et al. · International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA) · 4
Mining high-utility itemsets with irregular occurrence
2017 · Supachai Laoviboon, Komate Amphawan · International Conference on Knowledge and Smart Technology · 4
Discovering interesting itemsets based on change in regularity of occurrence
2017 · Sumalee Eisariyodom, Komate Amphawan · International Conference on Knowledge and Smart Technology · 4
Mining weighted-frequent-regular itemsets from transactional database
2017 · Kittipa Klangwisan, Komate Amphawan · International Conference on Knowledge and Smart Technology · 4
N-Most Interesting Location-based Recommender System
2022 · Sumet Darapisut, Komate Amphawan, et al. · ECTI Transactions on Computer and Information Technology (ECTI-CIT) · 3
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NILR:N-Most Interesting Location-based Recommender System
2020 · Sumet Darapisut, Komate Amphawan, et al. · International Conference on Smart Media and Applications (SMA) · 3
An improvement of supplementary book suggestion system
2020 · Benchamawan Chaisoongnoen, Komate Amphawan · International Conference on Smart Media and Applications (SMA) · 2
Mining Top-k Frequent-regular Itemsets from Data Streams Based on Sliding Window Technique
2018 · Tashinee Mesama, Komate Amphawan · International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA) · 2
SST: An Efficient Suffix-Sharing Trie Structure for Dictionary Lookup
2013 · Komate Amphawan · Asia Modelling Symposium · 2
Chatbot-Based Local POI Recommendation Without User Profiles and Mitigation of Popularity Bias
2025 · Sumet Darapisut, Komate Amphawan · International Conference on Power, Energy and Innovations (ICPEI) · 1
eCSCDA: An efficient system for analyzing contents of Computer Science Courses
2021 · Peerapon Kamlangpuech, Komate Amphawan · International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA) · 1
Mining High-Utility Irregular Itemsets
2019 · Supachai Laoviboon, Komate Amphawan · Studies in big data · 1
Mining Top-k Frequent-regular Itemsets from Incremental Transactional Database
2018 · Bandit Tagmatcha, Komate Amphawan · International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA) · 1
Efficient weighted-frequent-regular itemsets mining using interval word segments structure
2018 · Kittipa Klangwisan, Komate Amphawan · International Conference on Knowledge and Smart Technology · 1
Works count: 40
Citation count: 244
H-index: 8
I10-index: 6
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