E-LIB Suche - Ergebnisse für: Likhitha, Palla

1

Discovering Fuzzy Partial Periodic Patterns in Quantitative..:

, In: 2023 IEEE International Conference on Fuzzy Systems (FUZZ),

Veena, Pamalla ; Likhitha, Palla ; Kiran, R. Uday... - p. 1-7 , 2023

Link: https://doi.org/10.1109/..

2

Finding Stable Periodic-Frequent Itemsets in Big Columnar D..:

Dao, Hong N. ; Ravikumar, Penugonda ; Likhitha, Palla...
IEEE Access. 11 (2023) - p. 12504-12524 , 2023

Link: https://doi.org/10.1109/..

3

UPFP-growth++: An Efficient Algorithm to Find Periodic-Freq..:

, In: Communications in Computer and Information Science; Neural Information Processing,

Likhitha, Palla ; Veena, Rage ; Kiran, Rage Uday... - p. 182-194 , 2023

Link: https://doi.org/10.1007/..

4

Discovering Top-K Partial Periodic Patterns in Big Temporal..:

, In: Lecture Notes in Computer Science; Database and Expert Systems Applications,

Likhitha, Palla ; Kiran, Rage Uday - p. 352-357 , 2023

Link: https://doi.org/10.1007/..

5

Discovering Geo-referenced Frequent Patterns in Uncertain G..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,

Likhitha, Palla ; Veena, Pamalla ; Rage, Uday Kiran. - p. 29-41 , 2023

Link: https://doi.org/10.1007/..

6

k-PFPMiner: Top-k Periodic Frequent Patterns in Big Tempora..:

Likhitha, Palla ; Ravikumar, Penugonda ; Saxena, Deepika..
IEEE Access. 11 (2023) - p. 119033-119044 , 2023

Link: https://doi.org/10.1109/..

7

Towards developing energy efficient algorithms to discover ..:

, In: Proceedings of the 30th International Conference on Advances in Geographic Information Systems,

Likhitha, Palla ; Kiran, Rage Uday - p. 1-2 , 2022

Link: https://dl.acm.org/doi/1..

8

Towards Efficient Discovery of Partial Periodic Patterns in..:

, In: Intelligent Information and Database Systems; Lecture Notes in Computer Science,

Ravikumar, Penugonda ; Raj, Venus Vikranth ; Likhitha, Palla... - p. 141-154 , 2022

Link: https://doi.org/10.1007/..

9

Discovering Geo-referenced Periodic-Frequent Patterns in Ge..:

, In: 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA),

Ravikumar, Penugonda ; Kiran, R. Uday ; Likhitha, Palla... - p. 1-10 , 2022

Link: https://doi.org/10.1109/..

10

Discovering Top-k Periodic-Frequent Patterns in Very Large ..:

, In: Big Data Analytics; Lecture Notes in Computer Science,

Likhitha, Palla ; Ravikumar, Penugonda ; Kiran, Rage Uday. - p. 200-210 , 2022

Link: https://doi.org/10.1007/..

11

Discovering Partial Periodic Patterns in Temporal Databases:

, In: Periodic Pattern Mining,

Veena, Pamalla ; Likhitha, Palla ; Sai chithra, B.. - p. 69-79 , 2021

Link: https://doi.org/10.1007/..

12

Efficient Discovery of Periodic-Frequent Patterns in Column..:

Ravikumar, Penugonda ; Likhitha, Palla ; Venus Vikranth Raj, Bathala...
Electronics. 10 (2021) 12 - p. 1478 , 2021

Link: https://doi.org/10.3390/..

13

3P-ECLAT: mining partial periodic patterns in columnar temp..:

Pamalla, Veena ; Rage, Uday Kiran ; Penugonda, Ravikumar...
Applied Intelligence. 54 (2023) 1 - p. 657-679 , 2023

Link: https://doi.org/10.1007/..

14

A fundamental approach to discover closed periodic-frequent..:

Pamalla, Veena ; Rage, Uday Kiran ; Penugonda, Ravikumar...
Applied Intelligence. 53 (2023) 22 - p. 27344-27373 , 2023

Link: https://doi.org/10.1007/..

15

Towards Efficient Discovery of Periodic-Frequent Patterns i..:

, In: Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices; Lecture Notes in Computer Science,

Penugonda, Ravikumar ; Palla, Likhitha ; Rage, Uday Kiran.. - p. 28-40 , 2021

Link: https://doi.org/10.1007/..