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ORCIDLikhitha Palla
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2020 – today
- 2024
[j4]Pamalla Veena
, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda, Bathala Venus Vikranth Raj:
3P-ECLAT: mining partial periodic patterns in columnar temporal databases. Appl. Intell. 54(11-12): 657-679 (2024)- 2023
- [j3]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: 12504-12524 (2023) - [j2]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: 119033-119044 (2023) - [j1]Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava:
A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases. Appl. Intell. 53(22): 27344-27373 (2023) - [c15]Palla Likhitha, Rage Uday Kiran:
Discovering Top-K Partial Periodic Patterns in Big Temporal Databases. DEXA (1) 2023: 352-357 - [c14]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: 1-7 - [c13]Palla Likhitha, Pamalla Veena, Rage Uday Kiran, Koji Zettsu:
Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases. PAKDD (3) 2023: 29-41 - 2022
- [c12]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: 141-154 - [c11]Palla Likhitha, Penugonda Ravikumar, Rage Uday Kiran, Yutaka Watanobe:
Discovering Top-k Periodic-Frequent Patterns in Very Large Temporal Databases. BDA 2022: 200-210 - [c10]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: 1-10 - [c9]Palla Likhitha, Rage Uday Kiran:
Towards developing energy efficient algorithms to discover partial periodic patterns in big temporal databases. SIGSPATIAL/GIS 2022: 110:1-110:2 - [c8]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: 182-194 - [c7]Hong N. Dao, Penugonda Ravikumar, Palla Likhitha, Bathala Venus Vikranth Raj, R. Uday Kiran, Yutaka Watanobe, Incheon Paik:
Towards Efficient Discovery of Stable Periodic Patterns in Big Columnar Temporal Databases. IEA/AIE 2022: 831-843 - 2021
- [c6]Palla Likhitha, Pamalla Veena, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu:
Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases. IEEE BigData 2021: 1460-1469 - [c5]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: 221-227 - [c4]R. Uday Kiran, Palla Likhitha, Minh-Son Dao, Koji Zettsu, Ji Zhang:
Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases. ICONIP (5) 2021: 710-718 - [c3]Penugonda Ravikumar, Likhitha Palla, Rage Uday Kiran, Yutaka Watanobe, Koji Zettsu:
Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases. IEA/AIE (1) 2021: 28-40 - [c2]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: 607-614 - 2020
- [c1]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: 4700-4709
Coauthor Index
aka: Rage Uday Kiran
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