Komate Amphawan

According to our database, Komate Amphawan authored at least 17 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

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., October, 2023

2020

NILR: N-Most Interesting Location-based Recommender System.

Sumet Darapisut, Komate Amphawan, Sunisa Rimcharoen, Nutthanon Leelathakul

Proceedings of the SMA 2020: The 9th International Conference on Smart Media and Applications, Jeju, Republic of Korea, September 17, 2020

Automatic Rap Lyrics Generation with Rhymes through Korean Syllables.

Benchamawan Chaisoongnoen, Komate Amphawan

Proceedings of the SMA 2020: The 9th International Conference on Smart Media and Applications, Jeju, Republic of Korea, September 17, 2020

An improvement of supplementary book suggestion system.

Benchamawan Chaisoongnoen, Komate Amphawan

Proceedings of the SMA 2020: The 9th International Conference on Smart Media and Applications, Jeju, Republic of Korea, September 17, 2020

2018

Efficient weighted-frequent-regular itemsets mining using interval word segments structure.

Kittipa Klangwisan, Komate Amphawan

Proceedings of the 10th International Conference on Knowledge and Smart Technology, 2018

2017

Mining high-utility itemsets with irregular occurrence.

Supachai Laoviboon, Komate Amphawan

Proceedings of the 9th International Conference on Knowledge and Smart Technology, 2017

Mining weighted-frequent-regular itemsets from transactional database.

Kittipa Klangwisan, Komate Amphawan

Proceedings of the 9th International Conference on Knowledge and Smart Technology, 2017

Discovering interesting itemsets based on change in regularity of occurrence.

Sumalee Eisariyodom, Komate Amphawan

Proceedings of the 9th International Conference on Knowledge and Smart Technology, 2017

2015

Mining top-k frequent-regular closed patterns.

Komate Amphawan, Philippe Lenca

Expert Syst. Appl., 2015

2014

Mining N-most Interesting Multi-level Frequent Itemsets without Support Threshold.

Sorapol Chompaisal, Komate Amphawan, Athasit Surarerks

Proceedings of the Recent Advances in Information and Communication Technology, 2014

2013

Mining Top-k Frequent/Regular Patterns Based on User-Given Trade-Off between Frequency and Regularity.

Komate Amphawan, Philippe Lenca

Proceedings of the Advances in Information Technology - 6th International Conference, 2013

SST: An Efficient Suffix-Sharing Trie Structure for Dictionary Lookup.

Komate Amphawan

Proceedings of the Asia Modelling Symposium 2013, 2013

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

Mining top-k regular-frequent itemsets using database partitioning and support estimation.

Komate Amphawan, Philippe Lenca, Athasit Surarerks

Expert Syst. Appl., 2012

2011

Efficient Mining Top-k Regular-Frequent Itemset Using Compressed Tidsets.

Komate Amphawan, Philippe Lenca, Athasit Surarerks

Proceedings of the New Frontiers in Applied Data Mining, 2011

2010

Mining Periodic-Frequent Itemsets with Approximate Periodicity Using Interval Transaction-Ids List Tree.

Komate Amphawan, Athasit Surarerks, Philippe Lenca

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010

2009

Mining Top-<i>K</i> Periodic-Frequent Pattern from Transactional Databases without Support Threshold.

Komate Amphawan, Philippe Lenca, Athasit Surarerks

Proceedings of the Advances in Information Technology - Third International Conference, 2009