Palla Likhitha

17 papers B 1C 1Journal 3Unranked 12
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
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 — conf
Discovering Top-K Partial Periodic Patterns in Big Temporal Databases.
DEXA (1)
Palla Likhitha, Rage Uday Kiran
2023 J jnl
Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases.
IEEE Access
Hong N. Dao, Penugonda Ravikumar, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Incheon Paik
2023 J jnl
k-PFPMiner: Top-k Periodic Frequent Patterns in Big Temporal Databases.
IEEE Access
Palla Likhitha, Penugonda Ravikumar, Deepika Saxena, Rage Uday Kiran, Yutaka Watanobe
2022 B conf
Discovering Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases.
DSAA
Penugonda Ravikumar, R. Uday Kiran, Palla Likhitha, T. Chandrasekhar, Yutaka Watanobe, Koji Zettsu
2022 — conf
Discovering Top-k Periodic-Frequent Patterns in Very Large Temporal Databases.
BDA
Palla Likhitha, Penugonda Ravikumar, Rage Uday Kiran, Yutaka Watanobe
2022 — conf
Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases.
ACIIDS (2)
Penugonda Ravikumar, Bathala Venus Vikranth Raj, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda
2022 C conf
Towards Efficient Discovery of Stable Periodic Patterns in Big Columnar Temporal Databases.
IEA/AIE
Hong N. Dao, Penugonda Ravikumar, Palla Likhitha, Bathala Venus Vikranth Raj, R. Uday Kiran, Yutaka Watanobe, Incheon Paik
2022 — conf
Towards developing energy efficient algorithms to discover partial periodic patterns in big temporal databases.
SIGSPATIAL/GIS
Palla Likhitha, Rage Uday Kiran
2022 — conf
UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases.
ICONIP (5)
Palla Likhitha, Rage Veena, Rage Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger
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 — 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 Periodic-Frequent Patterns in Uncertain Temporal Databases.
ICONIP (5)
R. Uday Kiran, Palla Likhitha, Minh-Son Dao, Koji Zettsu, Ji Zhang
2021 — conf
Efficient Discovery of Partial Periodic-Frequent Patterns in Temporal Databases.
DEXA (1)
So Nakamura, R. Uday Kiran, Palla Likhitha, Penugonda Ravikumar, Yutaka Watanobe, Minh-Son Dao, Koji Zettsu, Masashi Toyoda
2020 — conf
Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases.
IEEE BigData
Palla Likhitha, Penugonda Ravikumar, R. Uday Kiran, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava