Penugonda Ravikumar

According to our database, Penugonda Ravikumar authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda, Bathala Venus Vikranth Raj

Appl. Intell., January, 2024

2023

A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases.

Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava

Appl. Intell., November, 2023

HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases.

Rage Uday Kiran, Pamalla Veena, Penugonda Ravikumar, Bathala Venus Vikranth Raj, Minh-Son Dao, Koji Zettsu, Sai Chithra Bommisetti

Appl. Intell., April, 2023

k-PFPMiner: Top-k Periodic Frequent Patterns in Big Temporal Databases.

Palla Likhitha, Penugonda Ravikumar, Deepika Saxena, Rage Uday Kiran, Yutaka Watanobe

IEEE Access, 2023

Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases.

Hong N. Dao, Penugonda Ravikumar, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Incheon Paik

IEEE Access, 2023

2022

Online Judge System: Requirements, Architecture, and Experiences.

Yutaka Watanobe, Md. Mostafizer Rahman, Taku Matsumoto, Rage Uday Kiran, Penugonda Ravikumar

Int. J. Softw. Eng. Knowl. Eng., 2022

Towards Efficient Discovery of Stable Periodic Patterns in Big Columnar Temporal Databases.

Hong N. Dao, Penugonda Ravikumar, Palla Likhitha, Bathala Venus Vikranth Raj, R. Uday Kiran, Yutaka Watanobe, Incheon Paik

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Discovering Fuzzy Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases.

Pamalla Veena, Penugonda Ravikumar, Kundai Kwangwari, R. Uday Kiran, Kazuo Goda, Yutaka Watanobe, Koji Zettsu

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Discovering Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases.

Penugonda Ravikumar, R. Uday Kiran, Palla Likhitha, T. Chandrasekhar, Yutaka Watanobe, Koji Zettsu

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.

Palla Likhitha, Penugonda Ravikumar, Rage Uday Kiran, Yutaka Watanobe

Proceedings of the Big Data Analytics - 10th International Conference, 2022

Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases.

Penugonda Ravikumar, Bathala Venus Vikranth Raj, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021

Online Automatic Assessment System for Program Code: Architecture and Experiences.

Yutaka Watanobe, Md. Mostafizer Rahman, Rage Uday Kiran, Penugonda Ravikumar

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases.

Penugonda Ravikumar, Likhitha Palla, Rage Uday Kiran, Yutaka Watanobe, Koji Zettsu

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases.

Sai Chithra Bommisetty, Penugonda Ravikumar, Rage Uday Kiran, Minh-Son Dao, Koji Zettsu

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

A Novel Parameter-Free Energy Efficient Fuzzy Nearest Neighbor Classifier for Time Series Data.

Penugonda Ravikumar, R. Uday Kiran, Narendra Babu Unnam, Yutaka Watanobe, Kazuo Goda, V. Susheela Devi, P. Krishna Reddy

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Efficient Discovery of Partial Periodic-Frequent Patterns in Temporal Databases.

So Nakamura, R. Uday Kiran, Palla Likhitha, Penugonda Ravikumar, Yutaka Watanobe, Minh-Son Dao, Koji Zettsu, Masashi Toyoda

Proceedings of the Database and Expert Systems Applications, 2021

2020

Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases.

R. Uday Kiran, C. Saideep, Penugonda Ravikumar, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases.

Palla Likhitha, Penugonda Ravikumar, R. Uday Kiran, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2014

Weighted feature-based classification of time series data.

Penugonda Ravikumar, V. Susheela Devi

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013

Fuzzy classification of time series data.

Penugonda Ravikumar, V. Susheela Devi

Proceedings of the FUZZ-IEEE 2013, 2013