Closed Multidimensional Sequential Pattern Mining. - Panida Songram; Veera Boonjing; Sarun Intakosum (ITNG, 2006)

Efficient Algorithms for Mining Closed Multidimensional Sequential Patterns. - Veera Boonjing; Panida Songram (FSKD (2), 2007)

Mining top-k closed itemsets using best-first search. - Panida Songram; Veera Boonjing (CIT, 2008)

A Novel Model for Customer Retention. - Yadan Li; Xu Xu; Panida Songram (ISNN (4), 2009)

The most frequent closed sequence mining. - Panida Songram; Sasitorn Kaewman (NCM, 2010)

Efficient Ming of Top-K Closed Sequences. - Panida Songram (J. Convergence Inf. Technol., 2010)

Detecting Thai Messages Leading to Deception on Facebook. - Panida Songram; Atchara Choompol; Paitoon Thipsanthia; Veera Boonjing (IUKM, 2016)

A Study of Features Affecting on Stroke Prediction Using Machine Learning. - Panida Songram; Chatklaw Jareanpon (MIWAI, 2019)

Generation of Efficient Rules for Associative Classification. - Chartwut Thanajiranthorn; Panida Songram (MIWAI, 2019)

Road Sign Detection and Recognition of Thai Traffic Based on YOLOv3. - Paitoon Thipsanthia; Rapeeporn Chamchong; Panida Songram (MIWAI, 2019)

Detection of unreliable and reliable pages on Facebook. - Panida Songram (Artif. Life Robotics, 2019)

Efficient Rule Generation for Associative Classification. - Chartwut Thanajiranthorn; Panida Songram (Algorithms, 2020)