Pamalla Veena

17 papers B 2Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Novel Depth-First Search Algorithm for Partial Periodic-Frequent Pattern Mining in Temporal Databases.
IEEE Access
Pamalla Veena, Vanitha Kattumuri, Yutaka Watanobe, Rage Uday Kiran, So Nakamura, Palla Likhitha, Koji Zettsu
2025 J jnl
Efficient Discovery of Fuzzy Partial Periodic Frequent Patterns Within Quantitative Temporal Databases.
IEEE Trans. Fuzzy Syst.
Pamalla Veena, Vanitha Kattumuri, Yutaka Watanobe, Deepika Saxena
2025 — conf
Enhancing V2V Communication in Autonomous Vehicles with Novel Clustering and Fuzzy Logic Framework.
FUZZ
Vanitha Kattumuri, Rage Uday Kiran, Deepanshu Garg, Rasmeet S. Bali, Anu Kaushik, Pamalla Veena
2024 J jnl
3P-ECLAT: mining partial periodic patterns in columnar temporal databases.
Appl. Intell.
Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda, Bathala Venus Vikranth Raj
2024 — conf
Fuzzy Partial Periodic Frequent Pattern Mining in Quantitative Temporal Databases.
ICONIP (6)
Pamalla Veena, Vanitha Kattumuri, Yutaka Watanobe, Deepika Saxena
2024 J jnl
PAMI: An Open-Source Python Library for Pattern Mining.
J. Mach. Learn. Res.
Rage Uday Kiran, Pamalla Veena, Masashi Toyoda, Masaru Kitsuregawa
2023 J jnl
A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases.
Appl. Intell.
Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava
2023 — conf
Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series.
FUZZ
Pamalla Veena, Palla Likhitha, R. Uday Kiran, José María Luna, Philippe Fournier-Viger, Koji Zettsu
2023 — conf
Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases.
PAKDD (3)
Palla Likhitha, Pamalla Veena, Rage Uday Kiran, Koji Zettsu
2023 J jnl
HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases.
Appl. Intell.
Rage Uday Kiran, Pamalla Veena, Penugonda Ravikumar, Bathala Venus Vikranth Raj, Minh-Son Dao, Koji Zettsu, Sai Chithra Bommisetti
2023 J jnl
Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements.
IEEE Access
Pamalla Veena, Sreepada Tarun, Rage Uday Kiran, Minh-Son Dao, Koji Zettsu, Yutaka Watanobe, Ji Zhang
2022 B conf
Discovering Fuzzy Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases.
FUZZ-IEEE
Pamalla Veena, Penugonda Ravikumar, Kundai Kwangwari, R. Uday Kiran, Kazuo Goda, Yutaka Watanobe, Koji Zettsu
2022 — conf
Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements.
DEXA (2)
Pamalla Veena, Sreepada Tarun, R. Uday Kiran, Minh-Son Dao, Koji Zettsu, Yutaka Watanobe, Ji Zhang
2021 — conf
A Unified Framework to Discover Partial Periodic-Frequent Patterns in Row and Columnar Temporal Databases.
ICDM (Workshops)
Pamalla Veena, So Nakamura, Palla Likhitha, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu
2021 B conf
Discovering Fuzzy Frequent Spatial Patterns in Large Quantitative Spatiotemporal databases.
FUZZ-IEEE
Pamalla Veena, Sai Chithra Bommisetty, R. Uday Kiran, Sonali Agarwal, Koji Zettsu
2021 — conf
Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases.
IEEE BigData
Palla Likhitha, Pamalla Veena, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu
2021 — conf
Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases.
IEEE BigData
Pradeep Pallikila, Pamalla Veena, R. Uday Kiran, Ram Avatar, Sadanori Ito, Koji Zettsu, P. Krishna Reddy