Likhitha Palla

Orcid: 0000-0003-3032-9061

According to our database1, Likhitha Palla authored at least 19 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
3P-ECLAT: mining partial periodic patterns in columnar temporal databases.
Appl. Intell., January, 2024

2023
A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases.
Appl. Intell., November, 2023

k-PFPMiner: Top-k Periodic Frequent Patterns in Big Temporal Databases.
IEEE Access, 2023

Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases.
IEEE Access, 2023

Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Discovering Top-K Partial Periodic Patterns in Big Temporal Databases.
Proceedings of the Database and Expert Systems Applications, 2023

2022
Towards Efficient Discovery of Stable Periodic Patterns in Big Columnar Temporal Databases.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Towards developing energy efficient algorithms to discover partial periodic patterns in big temporal databases.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Discovering Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Discovering Top-k Periodic-Frequent Patterns in Very Large Temporal Databases.
Proceedings of the Big Data Analytics - 10th International Conference, 2022

Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021
A Unified Framework to Discover Partial Periodic-Frequent Patterns in Row and Columnar Temporal Databases.
Proceedings of the 2021 International Conference on Data Mining, 2021

Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Efficient Discovery of Partial Periodic-Frequent Patterns in Temporal Databases.
Proceedings of the Database and Expert Systems Applications, 2021

Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020


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