Conference publications
| S.No. | Publication | Citation count |
| 43 | Philippe Fournier-Viger, Peng Yang, Jerry Chun-Wei Lin, Rage Uday Kiran:Discovering Stable Periodic-Frequent Patterns in Transactional Data. IEA/AIE 2019: 230-244 | NA |
| 42 | T. Yashwanth Reddy, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa: Discovering Partial Periodic High Utility Itemsets in Temporal Databases. DEXA (2) 2019: 351-361 [EI] | NA |
| 41 | R. Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger, P. Krishna Reddy, Masaru Kitsuregawa: Discovering Spatial High Utility Itemsets in Spatiotemporal Databases. SSDBM 2019: 49-60 [EI] | NA |
| 40 | R. Uday Kiran, T. Yashwanth, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa: Efficient Discovery of High Utility-Frequent Itemsets using Cutoff Utility and Suffix Utility. PAKDD (2) 2019: 191-203 [EI] | NA |
| 39 | R. Uday Kiran, Amulya Kotni, Masashi Toyoda, P. Krishna Reddy, Subash Bhalla, Masaru Kitsuregawa: Efficient Discovery of Weighted Frequent Itemsets in Very Large Transactional Databases: A Re-visit. BigData 2018: 723-732. | NA |
| 38 | Philippe Fournier-Viger, Zhitian Li, Jerry Chun-Wei Lin, Rage Uday Kiran, Hamido Fujita:Discovering Periodic Patterns Common to Multiple Sequences. DaWaK 2018: 231-246 [EI] | 3 |
| 37 | Amulya Kotni, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms. DaWaK 2018: 355-370 [EI] | NA |
| 36 | Qian Li, Ziwei Li, Jin-Mao Wei, Zhenglu Yang, Yanhui Gu, R. Uday Kiran:A Story Coherence based Neural Network Model for Predicting Story Ending. WWW (Companion Volume) 2018: 119-12 | NA |
| 35 | Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa:An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns. DaWaK 2017: 120-129 [EI] | 2 |
| 34 | R. Uday Kiran, J. N. Venkatesh, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa: Discovering Periodic Patterns in Non-uniform Temporal Databases. PAKDD (2) 2017: 604-617 [EI] | 3 |
| 33 | R. Uday Kiran, Haichuan Shang, Masashi Toyoda, Masaru Kitsuregawa:Discovering Partial Periodic Itemsets in Temporal Databases. SSDBM 2017: 30:1-30:6 | 4 |
| 32 | J. N. Venkatesh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa: Discovering Periodic-Frequent Patterns in Transactional Databases Using All-Confidence and Periodic-All-Confidence. DEXA (1) 2016: 55-70 [EI] | 5 |
| 31 | Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa:Memory efficient mining of periodic-frequent patterns in transactional databases. SSCI 2016: 1-8 | 8 |
| 30 | R. Uday Kiran, Haichuan Shang, Masashi Toyoda, Masaru Kitsuregawa: Discovering Recurring Patterns in Time Series. EDBT 2015: 97-108 | 18 |
| 29 | R. Uday Kiran, Masaru Kitsuregawa: Finding Periodic Patterns in Big Data. BDA 2015: 121-133 [EI] | 2 |
| 28 | Haichuan Shang, Xiang Zhao, R. Uday Kiran, Masaru Kitsuregawa:Towards Scale-out Capability on Social Graphs. CIKM 2015: 253-262 | 3 |
| 27 | R. Uday Kiran and Masaru Kitsuregawa: Discovering Chronic-Frequent Patterns in Transactional Databases. DNIS 2015: 12-26 | 6 |
| 26 | R. Uday Kiran and Masaru Kitsuregawa: Novel Techniques to Reduce Search Space in Periodic-Frequent Pattern Mining. DASFAA (2) 2014: 377-391 [EI] | 14 |
| 25 | R. Uday Kiran, Masaru Kitsuregawa: Mining Correlated Patterns with Multiple Minimum All-Confidence Thresholds. PAKDD Workshops 2013: 295-306 | 7 |
| 24 | R. Uday Kiran and Masaru Kitsuregawa: An Improved Neighborhood-Restricted Association Rule-based Recommender System. ADC 2013: 43-50 | 1 |
| 23 | R. Uday Kiran and Masaru Kitsuregawa: Discovering Quasi-Periodic-Frequent Patterns in Transactional Databases. BDA 2013: 97-115 [EI] | 9 |
| 22 | R. Uday Kiran, Masaru Kitsuregawa:Towards Addressing the Coverage19 Problem in Association Rule-Based Recommender Systems. DEXA (2) 2013: 418-425[EI] | 1 |
| 21 | R. Uday Kiran, Masashi Toyoda, Masaru Kitsuregawa:Towards efficient discovery of coverage patterns in transactional databases. SSDBM 2013: 38:1-38:4 | 3 |
| 20 | R. Uday Kiran, Masaru Kitsuregawa:Towards Efficient Discovery of Frequent Patterns with Relative Support. COMAD 2012: 92-99 | 1 |
| 19 | M. Venu, R. Uday Kiran, R. Kiranmai: A robust neural network classifier to model the compressive strength of high performance concrete using feature subset selection. COMPUTE 2012: 1 | 1 |
| 18 | R. Uday Kiran, Masaru Kitsuregawa:Efficient Discovery of Correlated Patterns in Transactional Databases Using Items' Support Intervals. DEXA (1) 2012: 234-248 [EI] | 7 |
| 17 | P. Gowtham Srinivas, P. Krishna Reddy, Bhargav Sripada, R. Uday Kiran, D. Satheesh Kumar:Discovering Coverage Patterns for Banner Advertisement Placement. PAKDD (2) 2012: 133-144 | 13 |
| 16 | Akshat Surana, R. Uday Kiran, P. Krishna Reddy:An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases. PAKDD Workshops 2011: 254-266 | 36 |
| 15 | Somya Srivastava, R. Uday Kiran, P. Krishna Reddy:Discovering Diverse-Frequent Patterns in Transactional Databases. COMAD 2011: 69-78 | 4 |
| 14 | R. Uday Kiran, P. Krishna Reddy:An Alternative Interestingness Measure for Mining Periodic-Frequent Patterns. DASFAA (1) 2011: 183-192 [EI] | 21 |
| 13 | Mohak Sharma, P. Krishna Reddy, R. Uday Kiran, Thirumalaisamy Ragunathan:Improving the Performance of Recommender System by Exploiting the Categories of Products. DNIS 2011: 137-146 | |
| 12 | R. Uday Kiran, P. Krishna Reddy:Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms. EDBT 2011: 11-20 | 55 |
| 11 | Bhargav Sripada, Polepalli Krishna Reddy, Rage Uday Kiran: Coverage patterns for efficient banner advertisement placement. WWW (Companion Volume) 2011: 131-132 | 10 |
| 10 | R. Uday Kiran, Polepalli Krishna Reddy:An Efficient Approach to Mine Rare Association Rules Using Maximum Items' Support Constraints. BNCOD 2010: 84-95 | 11 |
| 9 | Akshat Surana, R. Uday Kiran, P. Krishna Reddy: Selecting a Right Interestingness Measure for Rare Association Rules. COMAD 2010: 115 | 31 |
| 8 | R. Uday Kiran, P. Krishna Reddy:Mining periodic-frequent patterns with maximum items' support constraints. Bangalore Compute Conf. 2010: 1:1-1:8 | 8 |
| 7 | R. Uday Kiran, P. Krishna Reddy:Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies. DASFAA (1) 2010: 49-62 [EI] | 33 |
| 6 | R. Uday Kiran, P. Krishna Reddy:Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Databases. DEXA (2) 2010: 194-208 [EI] | 33 |
| 5 | Mittapally Kumara Swamy, P. Krishna Reddy, R. Uday Kiran, M. Venugopal Reddy:Interface Tailoring by Exploiting Temporality of Attributes for Small Screens. DNIS 2010: 284-295 | 3 |
| 4 | R. Uday Kiran, P. Krishna Reddy:An improved multiple minimum support based approach to mine rare association rules. IEEE CIDM 2009: 340-347 | 99 |
| 3 | R. Uday Kiran, P. Krishna Reddy:Mining Rare Periodic-Frequent Patterns Using Multiple Minimum Supports. COMAD 2009 | 9 |
| 2 | R. Uday Kiran, P. Krishna Reddy:An Improved Frequent Pattern-growth Approach to Discover Rare Association Rules. KDIR 2009: 43-52 | 24 |
| 1 | R. Uday Kiran, P. Krishna Reddy:Understanding the Dynamics of Crop Problems by Analyzing Farm Advisory Data in eSagu TM . DNIS 2007: 272-284 | 1 |