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likhitha palla
likhitha palla
Masters's Student at the University of Aizu
Dirección de correo verificada de u-aizu.ac.jp - Página principal
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Efficient discovery of periodic-frequent patterns in columnar temporal databases
P Ravikumar, P Likhitha, B Venus Vikranth Raj, R Uday Kiran, ...
Electronics 10 (12), 1478, 2021
182021
Finding stable periodic-frequent itemsets in big columnar databases
HN Dao, P Ravikumar, P Likhitha, UK Rage, Y Watanobe, I Paik
IEEE Access 11, 12504-12524, 2023
52023
Efficient discovery of partial periodic-frequent patterns in temporal databases
S Nakamura, RU Kiran, P Likhitha, P Ravikumar, Y Watanobe, MS Dao, ...
Database and Expert Systems Applications: 32nd International Conference …, 2021
52021
Discovering periodic-frequent patterns in uncertain temporal databases
R Uday Kiran, P Likhitha, MS Dao, K Zettsu, J Zhang
Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021
52021
Discovering closed periodic-frequent patterns in very large temporal databases
P Likhitha, P Ravikumar, RU Kiran, Y Hayamizu, K Goda, M Toyoda, ...
2020 IEEE International Conference on Big Data (Big Data), 4700-4709, 2020
52020
Discovering top-k periodic-frequent patterns in very large temporal databases
P Likhitha, P Ravikumar, RU Kiran, Y Watanobe
International Conference on Big Data Analytics, 200-210, 2022
42022
Discovering geo-referenced Periodic-Frequent Patterns in geo-referenced time series databases
P Ravikumar, RU Kiran, P Likhitha, T Chandrasekhar, Y Watanobe, ...
2022 IEEE 9th International conference on data science and advanced …, 2022
42022
Towards efficient discovery of stable periodic patterns in big columnar temporal databases
HN Dao, P Ravikumar, P Likitha, BVV Raj, RU Kiran, Y Watanobe, I Paik
International Conference on Industrial, Engineering and Other Applications …, 2022
42022
Discovering maximal partial periodic patterns in very large temporal databases
P Likitha, P Veena, RU Kiran, Y Watanobe, K Zettsu
2021 IEEE International Conference on Big Data (Big Data), 1460-1469, 2021
42021
Towards efficient discovery of periodic-frequent patterns in columnar temporal databases
R Penugonda, L Palla, UK Rage, Y Watanobe, K Zettsu
Advances and Trends in Artificial Intelligence. Artificial Intelligence …, 2021
32021
Towards efficient discovery of partial periodic patterns in columnar temporal databases
P Ravikumar, VV Raj, P Likhitha, RU Kiran, Y Watanobe, S Ito, K Zettsu, ...
Asian Conference on Intelligent Information and Database Systems, 141-154, 2022
22022
UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases
P Likhitha, R Veena, RU Kiran, K Zettsu, M Toyoda, P Fournier-Viger
International Conference on Neural Information Processing, 182-194, 2022
12022
3P-ECLAT: mining partial periodic patterns in columnar temporal databases
V Pamalla, UK Rage, R Penugonda, L Palla, Y Watanobe, S Ito, K Zettsu, ...
Applied Intelligence 54 (1), 657-679, 2024
2024
A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases
V Pamalla, UK Rage, R Penugonda, L Palla, Y Hayamizu, K Goda, ...
Applied Intelligence 53 (22), 27344-27373, 2023
2023
k-PFPMiner: Top-k Periodic Frequent Patterns in Big Temporal Databases
P Likhitha, P Ravikumar, D Saxena, RU Kiran, Y Watanobe
IEEE Access, 2023
2023
Discovering Top-K Partial Periodic Patterns in Big Temporal Databases
P Likhitha, RU Kiran
International Conference on Database and Expert Systems Applications, 352-357, 2023
2023
Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series
P Veena, P Likhitha, RU Kiran, JM Luna, P Fournier-Viger, K Zettsu
2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1-7, 2023
2023
Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases
P Likhitha, P Veena, UK Rage, K Zettsu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 29-41, 2023
2023
Discovering Top-k Periodic-Frequent Patterns in Very Large Temporal
P Likhitha, P Ravikumar, RU Kiran, Y Watanobe
Big Data Analytics: 10th International Conference, BDA 2022, Hyderabad …, 2023
2023
Towards developing energy efficient algorithms to discover partial periodic patterns in big temporal databases
P Likhitha, RU Kiran
Proceedings of the 30th International Conference on Advances in Geographic …, 2022
2022
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