Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases. - Palla Likhitha; Pamalla Veena; R. Uday Kiran; Yutaka Watanobe; Koji Zettsu (IEEE BigData, 2021)

Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases. - Pradeep Pallikila; Pamalla Veena; R. Uday Kiran; Ram Avatar; Sadanori Ito; Koji Zettsu; P. Krishna Reddy (IEEE BigData, 2021)

Discovering Fuzzy Frequent Spatial Patterns in Large Quantitative Spatiotemporal databases. - Pamalla Veena; Sai Chithra Bommisetty; R. Uday Kiran; Sonali Agarwal; Koji Zettsu (FUZZ-IEEE, 2021)

A Unified Framework to Discover Partial Periodic-Frequent Patterns in Row and Columnar Temporal Databases. - Pamalla Veena; So Nakamura; Palla Likhitha; R. Uday Kiran; Yutaka Watanobe; Koji Zettsu (ICDM (Workshops), 2021)

Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements. - Pamalla Veena; Sreepada Tarun; R. Uday Kiran; Minh-Son Dao; Koji Zettsu; Yutaka Watanobe; Ji Zhang 001 (DEXA (2), 2022)

Discovering Fuzzy Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases. - Pamalla Veena; Penugonda Ravikumar; Kundai Kwangwari; R. Uday Kiran; Kazuo Goda; Yutaka Watanobe; Koji Zettsu (FUZZ-IEEE, 2022)

Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series. - Pamalla Veena; Palla Likhitha; R. Uday Kiran; José María Luna; Philippe Fournier-Viger; Koji Zettsu (FUZZ, 2023)

Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases. - Palla Likhitha; Pamalla Veena; Rage Uday Kiran; Koji Zettsu (PAKDD (3), 2023)

Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements. - Pamalla Veena; Sreepada Tarun; Rage Uday Kiran; Minh-Son Dao; Koji Zettsu; Yutaka Watanobe; Ji Zhang 001 (IEEE Access, 2023)

HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases. - Rage Uday Kiran; Pamalla Veena; Penugonda Ravikumar; Bathala Venus Vikranth Raj; Minh-Son Dao; Koji Zettsu; Sai Chithra Bommisetti (Appl. Intell., 2023)

A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases. - Pamalla Veena; Rage Uday Kiran; Penugonda Ravikumar; Likhitha Palla; Yuto Hayamizu; Kazuo Goda; Masashi Toyoda; Koji Zettsu; Sourabh Shrivastava (Appl. Intell., 2023)

Fuzzy Partial Periodic Frequent Pattern Mining in Quantitative Temporal Databases. - Pamalla Veena; Vanitha Kattumuri; Yutaka Watanobe; Deepika Saxena (ICONIP (6), 2024)

PAMI: An Open-Source Python Library for Pattern Mining. - Rage Uday Kiran; Pamalla Veena; Masashi Toyoda; Masaru Kitsuregawa (J. Mach. Learn. Res., 2024)

3P-ECLAT: mining partial periodic patterns in columnar temporal databases. - Pamalla Veena; Rage Uday Kiran; Penugonda Ravikumar; Likhitha Palla; Yutaka Watanobe; Sadanori Ito; Koji Zettsu; Masashi Toyoda; Bathala Venus Vikranth Raj (Appl. Intell., 2024)

A Novel Depth-First Search Algorithm for Partial Periodic-Frequent Pattern Mining in Temporal Databases. - Pamalla Veena; Vanitha Kattumuri; Yutaka Watanobe; Rage Uday Kiran; So Nakamura; Palla Likhitha; Koji Zettsu (IEEE Access, 2025)

Efficient Discovery of Fuzzy Partial Periodic Frequent Patterns Within Quantitative Temporal Databases. - Pamalla Veena; Vanitha Kattumuri; Yutaka Watanobe; Deepika Saxena (IEEE Trans. Fuzzy Syst., 2025)