Mining Top-K Periodic-Frequent Pattern from Transactional Databases without Support Threshold. - Komate Amphawan; Philippe Lenca; Athasit Surarerks (IAIT, 2009)

Mining Periodic-Frequent Itemsets with Approximate Periodicity Using Interval Transaction-Ids List Tree. - Komate Amphawan; Athasit Surarerks; Philippe Lenca (WKDD, 2010)

Efficient Mining Top-k Regular-Frequent Itemset Using Compressed Tidsets. - Komate Amphawan; Philippe Lenca; Athasit Surarerks (PAKDD Workshops, 2011)

Mining top-k regular-frequent itemsets using database partitioning and support estimation. - Komate Amphawan; Philippe Lenca; Athasit Surarerks (Expert Syst. Appl., 2012)

Erratum to "Mining top-k regular-frequent itemsets using database partitioning and support estimation" [Expert Systems with Applications 39 (2) (2011) 1924-1936]. - Komate Amphawan; Philippe Lenca; Athasit Surarerks (Expert Syst. Appl., 2012)

SST: An Efficient Suffix-Sharing Trie Structure for Dictionary Lookup. - Komate Amphawan (Asia International Conference on Modelling and Simulation, 2013)

Mining Top-k Frequent/Regular Patterns Based on User-Given Trade-Off between Frequency and Regularity. - Komate Amphawan; Philippe Lenca (IAIT, 2013)

Mining N-most Interesting Multi-level Frequent Itemsets without Support Threshold. - Sorapol Chompaisal; Komate Amphawan; Athasit Surarerks (IC2IT, 2014)

Mining top-k frequent-regular closed patterns. - Komate Amphawan; Philippe Lenca (Expert Syst. Appl., 2015)

Discovering interesting itemsets based on change in regularity of occurrence. - Sumalee Eisariyodom; Komate Amphawan (KST, 2017)

Mining weighted-frequent-regular itemsets from transactional database. - Kittipa Klangwisan; Komate Amphawan (KST, 2017)

Mining high-utility itemsets with irregular occurrence. - Supachai Laoviboon; Komate Amphawan (KST, 2017)

Efficient weighted-frequent-regular itemsets mining using interval word segments structure. - Kittipa Klangwisan; Komate Amphawan (KST, 2018)

An improvement of supplementary book suggestion system. - Benchamawan Chaisoongnoen; Komate Amphawan (SMA, 2020)

Automatic Rap Lyrics Generation with Rhymes through Korean Syllables. - Benchamawan Chaisoongnoen; Komate Amphawan (SMA, 2020)

NILR: N-Most Interesting Location-based Recommender System. - Sumet Darapisut; Komate Amphawan; Sunisa Rimcharoen; Nutthanon Leelathakul (SMA, 2020)

A Hybrid POI Recommendation System Combining Link Analysis and Collaborative Filtering Based on Various Visiting Behaviors. - Sumet Darapisut; Komate Amphawan; Nutthanon Leelathakul; Sunisa Rimcharoen (ISPRS Int. J. Geo Inf., 2023)