Fuzzy classification of time series data. - Penugonda Ravikumar; V. Susheela Devi (FUZZ-IEEE, 2013)

Weighted feature-based classification of time series data. - Penugonda Ravikumar; V. Susheela Devi (CIDM, 2014)

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 (IEEE BigData, 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 (FUZZ-IEEE, 2020)

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 (DEXA (1), 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 (FUZZ-IEEE, 2021)

Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases. - Sai Chithra Bommisetty; Penugonda Ravikumar; Rage Uday Kiran; Minh-Son Dao; Koji Zettsu (IEA/AIE (1), 2021)

Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases. - Penugonda Ravikumar; Likhitha Palla; Rage Uday Kiran; Yutaka Watanobe; Koji Zettsu (IEA/AIE (1), 2021)

Online Automatic Assessment System for Program Code: Architecture and Experiences. - Yutaka Watanobe; Md. Mostafizer Rahman; Rage Uday Kiran; Penugonda Ravikumar (IEA/AIE (2), 2021)

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 (ACIIDS (2), 2022)

Discovering Top-k Periodic-Frequent Patterns in Very Large Temporal Databases. - Palla Likhitha; Penugonda Ravikumar; Rage Uday Kiran; Yutaka Watanobe (BDA, 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 (DSAA, 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 (FUZZ-IEEE, 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 (IEA/AIE, 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)

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)

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)

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., 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., 2023)

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., 2024)