Palla Likhitha

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 14

Top Topics

Temporal Databases

Top Venues

Publications

Pamalla Veena, Palla Likhitha, R. Uday Kiran, José María Luna, Philippe Fournier-Viger, Koji Zettsu
Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series. FUZZ (2023)
Palla Likhitha, Penugonda Ravikumar, Deepika Saxena, Rage Uday Kiran, Yutaka Watanobe
k-PFPMiner: Top-k Periodic Frequent Patterns in Big Temporal Databases. IEEE Access 11 (2023)
Hong N. Dao, Penugonda Ravikumar, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Incheon Paik
Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases. IEEE Access 11 (2023)
Palla Likhitha, Pamalla Veena, Rage Uday Kiran, Koji Zettsu
Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases. PAKDD (3) (2023)
Palla Likhitha, Rage Uday Kiran
Discovering Top-K Partial Periodic Patterns in Big Temporal Databases. DEXA (1) (2023)
Penugonda Ravikumar, R. Uday Kiran, Palla Likhitha, T. Chandrasekhar, Yutaka Watanobe, Koji Zettsu
Discovering Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases. DSAA (2022)
Palla Likhitha, Penugonda Ravikumar, Rage Uday Kiran, Yutaka Watanobe
Discovering Top-k Periodic-Frequent Patterns in Very Large Temporal Databases. BDA (2022)
Palla Likhitha, Rage Uday Kiran
Towards developing energy efficient algorithms to discover partial periodic patterns in big temporal databases. SIGSPATIAL/GIS (2022)
Penugonda Ravikumar, Bathala Venus Vikranth Raj, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda
Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases. ACIIDS (2) (2022)
Palla Likhitha, Rage Veena, Rage Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger
UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases. ICONIP (5) (2022)
Pamalla Veena, So Nakamura, Palla Likhitha, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu
A Unified Framework to Discover Partial Periodic-Frequent Patterns in Row and Columnar Temporal Databases. ICDM (Workshops) (2021)
R. Uday Kiran, Palla Likhitha, Minh-Son Dao, Koji Zettsu, Ji Zhang
Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases. ICONIP (5) (2021)
So Nakamura, R. Uday Kiran, Palla Likhitha, Penugonda Ravikumar, Yutaka Watanobe, Minh-Son Dao, Koji Zettsu, Masashi Toyoda
Efficient Discovery of Partial Periodic-Frequent Patterns in Temporal Databases. DEXA (1) (2021)
Palla Likhitha, Penugonda Ravikumar, R. Uday Kiran, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava
Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases. IEEE BigData (2020)