| 2022 | DASFAA | A Novel Null-Invariant Temporal Measure to Discover Partial Periodic Patterns in Non-uniform Temporal Databases. | R. Uday Kiran, Vipul Chhabra, Saideep Chennupati, P. Krishna Reddy, Minh-Son Dao, Koji Zettsu |
| 2022 | DEXA | Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements. | Veena Pamalla, Sreepada Tarun, R. Uday Kiran, Minh-Son Dao, Koji Zettsu, Yutaka Watanobe, Ji Zhang |
| 2022 | DSAA | 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 |
| 2021 | DEXA | 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 |
| 2021 | ICONIP | Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases. | R. Uday Kiran, Palla Likhitha, Minh-Son Dao, Koji Zettsu, Ji Zhang |
| 2020 | DSAA | Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases. | R. Uday Kiran, Yutaka Watanobe, Bhaskar Chaudhury, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa |
| 2020 | ICDM | Insights From Urban Sensing Data: From Chaos to Predicted Congestion Patterns. | Minh-Son Dao, Ngoc-Thanh Nguyen, R. Uday Kiran, Koji Zettsu |
| 2019 | DEXA | Discovering Partial Periodic High Utility Itemsets in Temporal Databases. | T. Yashwanth Reddy, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa |
| 2019 | PAKDD | Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility. | R. Uday Kiran, T. Yashwanth Reddy, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa |
| 2019 | SSDBM | Discovering Spatial High Utility Itemsets in Spatiotemporal Databases. | R. Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger, P. Krishna Reddy, Masaru Kitsuregawa |
| 2018 | DaWaK | Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms. | Amulya Kotni, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa |
| 2018 | WWW | A Story Coherence based Neural Network Model for Predicting Story Ending. | Qian Li, Ziwei Li, Jin-Mao Wei, Zhenglu Yang, Yanhui Gu, R. Uday Kiran |
| 2017 | DaWaK | An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns. | Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa |
| 2017 | PAKDD | Discovering Periodic Patterns in Non-uniform Temporal Databases. | R. Uday Kiran, J. N. Venkatesh, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa |
| 2017 | SSDBM | Discovering Partial Periodic Itemsets in Temporal Databases. | R. Uday Kiran, Haichuan Shang, Masashi Toyoda, Masaru Kitsuregawa |
| 2016 | DEXA | Discovering Periodic-Frequent Patterns in Transactional Databases Using All-Confidence and Periodic-All-Confidence. | J. N. Venkatesh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa |
| 2015 | CIKM | Towards Scale-out Capability on Social Graphs. | Haichuan Shang, Xiang Zhao, R. Uday Kiran, Masaru Kitsuregawa |
| 2015 | EDBT | Discovering Recurring Patterns in Time Series. | R. Uday Kiran, Haichuan Shang, Masashi Toyoda, Masaru Kitsuregawa |
| 2014 | DASFAA | Novel Techniques to Reduce Search Space in Periodic-Frequent Pattern Mining. | R. Uday Kiran, Masaru Kitsuregawa |
| 2013 | ADC | An Improved Neighborhood-Restricted Association Rule-based Recommender System. | R. Uday Kiran, Masaru Kitsuregawa |
| 2013 | DEXA | Towards Addressing the Coverage Problem in Association Rule-Based Recommender Systems. | R. Uday Kiran, Masaru Kitsuregawa |
| 2013 | PAKDD | Mining Correlated Patterns with Multiple Minimum All-Confidence Thresholds. | R. Uday Kiran, Masaru Kitsuregawa |
| 2013 | SSDBM | Towards efficient discovery of coverage patterns in transactional databases. | R. Uday Kiran, Masashi Toyoda, Masaru Kitsuregawa |
| 2012 | COMAD | Towards Efficient Discovery of Frequent Patterns with Relative Support. | R. Uday Kiran, Masaru Kitsuregawa |
| 2012 | DEXA | Efficient Discovery of Correlated Patterns in Transactional Databases Using Items' Support Intervals. | R. Uday Kiran, Masaru Kitsuregawa |
| 2012 | PAKDD | Discovering Coverage Patterns for Banner Advertisement Placement. | P. Gowtham Srinivas, P. Krishna Reddy, Bhargav Sripada, R. Uday Kiran, D. Satheesh Kumar |
| 2011 | COMAD | Discovering Diverse-Frequent Patterns in Transactional Databases. | Somya Srivastava, R. Uday Kiran, P. Krishna Reddy |
| 2011 | DASFAA | An Alternative Interestingness Measure for Mining Periodic-Frequent Patterns. | R. Uday Kiran, P. Krishna Reddy |
| 2011 | EDBT | Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms. | R. Uday Kiran, P. Krishna Reddy |
| 2011 | PAKDD | An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases. | Akshat Surana, R. Uday Kiran, P. Krishna Reddy |
| 2010 | COMAD | Selecting a Right Interestingness Measure for Rare Association Rules. | Akshat Surana, R. Uday Kiran, P. Krishna Reddy |
| 2010 | DASFAA | Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies. | R. Uday Kiran, P. Krishna Reddy |
| 2010 | DEXA | Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Databases. | R. Uday Kiran, P. Krishna Reddy |
| 2009 | CIDM | An improved multiple minimum support based approach to mine rare association rules. | R. Uday Kiran, P. Krishna Reddy |
| 2009 | COMAD | Mining Rare Periodic-Frequent Patterns Using Multiple Minimum Supports. | R. Uday Kiran, P. Krishna Reddy |
| 2009 | IC3K | An Improved Frequent Pattern-growth Approach to Discover Rare Association Rules. | R. Uday Kiran, P. Krishna Reddy |