Note: Due to very high competition and fast paced research in the field of computer science, any publication in a top-tier conference (i.e., CORE rank A* and A) were treated on par with any major journal publication. CORE 2010 ranking were employed to rank conferences.
| S. No. | Title | CORE rank |
| 86 | Palla Likhitha, Pamalla Veena, Rage Uday Kiran, Koji Zettsu:Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases. PAKDD (3) 2023: 29-41 | A |
| 85 | Rage Uday Kiran, Abinash Maharana, Krishna Reddy Polepalli:A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs Using Time-Relaxed Cyclic and Acyclic Rules. PAKDD (1) 2023: 264-275 | A |
| 84 | Penugonda Ravikumar, Bathala Venus Vikranth Raj, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda:Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases. ACIIDS (2) 2022: 141-154 | B |
| 83 | Palla Likhitha, Penugonda Ravikumar, Rage Uday Kiran, Yutaka Watanobe:Discovering Top-k Periodic-Frequent Patterns in Very Large Temporal Databases. BDA 2022: 200-210 | - |
| 82 | Sreepada Tarun, Rage Uday Kiran, Yutaka Watanobe, Kazuo Goda: A Novel GPU-Accelerated Algorithm to Discover Periodic-Frequent Patterns in Temporal Databases. Big Data 2022: 121-126 | B |
| 81 | R. Uday Kiran, Vipul Chhabra, Saideep Chennupati, P. Krishna Reddy, Minh-Son Dao, Koji Zettsu:A Novel Null-Invariant Temporal Measure to Discover Partial Periodic Patterns in Non-uniform Temporal Databases. DASFAA (1) 2022: 569-577 | B |
| 80 | Qiliang Liang, Ji Zhang, Mohamed Jaward Bah, Hongzhou Li, Liang Chang, Rage Uday Kiran:Effective and Robust Boundary-Based Outlier Detection Using Generative Adversarial Networks. DEXA (2) 2022: 174-187 | B |
| 79 | Pamalla Veena, Sreepada Tarun, R. Uday Kiran, Minh-Son Dao, Koji Zettsu, Yutaka Watanobe, Ji Zhang:Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements. DEXA (2) 2022: 204-215 | B |
| 78 | Pamalla Veena, Penugonda Ravikumar, Kundai Kwangwari, R. Uday Kiran, Kazuo Goda, Yutaka Watanobe, Koji Zettsu: Discovering Fuzzy Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases. FUZZ-IEEE 2022: 1-8 | A |
| 77 | Vipul Chhabra, R. Uday Kiran, Juan Xiao, P. Krishna Reddy, Ram Avtar:A Spatiotemporal Image Fusion Method for Predicting High-Resolution Satellite Images. IEA/AIE 2022: 470-481 | B |
| 76 | Hong N. Dao, Penugonda Ravikumar, P. Likitha, Bathala Venus Vikranth Raj, R. Uday Kiran, Yutaka Watanobe, Incheon Paik:Towards Efficient Discovery of Stable Periodic Patterns in Big Columnar Temporal Databases. IEA/AIE 2022: 831-843 | B |
| 75 | R. Uday Kiran, Pradeep Pallikila, José María Luna, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy: Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure. IEEE BigData 2021: 252-262 | (yet to be ranked; A*/A approx.) |
| 74 | Palla Likhitha, Pamalla Veena, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu:Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases. IEEE BigData 2021: 1460-1469 | (yet to be ranked; A*/A approx.) |
| 73 | Tuan-Vinh La, Minh-Son Dao, Kazuki Tejima, Rage Uday Kiran, Koji Zettsu:Improving the Awareness of Sustainable Smart Cities by Analyzing Lifelog Images and IoT Air Pollution Data. IEEE BigData 2021: 3589-3594 | (yet to be ranked; A*/A approx.) |
| 72 | Pradeep Pallikila, Pamalla Veena, R. Uday Kiran, Ram Avatar, Sadanori Ito, Koji Zettsu, P. Krishna Reddy: Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases. IEEE BigData 2021: 4925-4935 | (yet to be ranked; A*/A approx.) |
| 71 | So Nakamura, R. Uday Kiran, Palla Likhitha, Penugonda Ravikumar, Yutaka Watanobe, Minh-Son Dao, Koji Zettsu, Masashi Toyoda:Efficient Discovery of Partial Periodic-Frequent Patterns in Temporal Databases. DEXA (1) 2021: 221-227 | B |
| 70 | Penugonda Ravikumar, R. Uday Kiran, Narendra Babu Unnam, Yutaka Watanobe, Kazuo Goda, V. Susheela Devi, P. Krishna Reddy:A Novel Parameter-Free Energy Efficient Fuzzy Nearest Neighbor Classifier for Time Series Data. FUZZ-IEEE 2021: 1-6 | A |
| 69 | Pamalla Veena, Sai Chithra Bommisetty, R. Uday Kiran, Sonali Agarwal, Koji Zettsu:Discovering Fuzzy Frequent Spatial Patterns in Large Quantitative Spatiotemporal databases. FUZZ-IEEE 2021: 1-8 | A |
| 68 | R. Uday Kiran, Palla Likhitha, Minh-Son Dao, Koji Zettsu, Ji Zhang:Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases. ICONIP (5) 2021: 710-718 | A |
| 67 | Md. Mostafizer Rahman, Yutaka Watanobe, Rage Uday Kiran, Keita Nakamura:A Novel Rule-Based Online Judge Recommender System to Promote Computer Programming Education. IEA/AIE (2) 2021: 15-27 | B |
| 66 | Penugonda Ravikumar, Likhitha Palla, Rage Uday Kiran, Yutaka Watanobe, Koji Zettsu:Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases. IEA/AIE (1) 2021: 28-40 | B |
| 65 | Sai Chithra Bommisetty, Penugonda Ravikumar, Rage Uday Kiran, Minh-Son Dao, Koji Zettsu:Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases. IEA/AIE (1) 2021: 53-65 | B |
| 64 | Yutaka Watanobe, Md. Mostafizer Rahman, Rage Uday Kiran, Penugonda Ravikumar:Online Automatic Assessment System for Program Code: Architecture and Experiences. IEA/AIE (2) 2021: 272-283 | B |
| 63 | Minh-Son Dao, Koji Zettsu, Rage Uday Kiran:IMAGE-2-AQI: Aware of the Surrounding Air Qualification by a Few Images. IEA/AIE (2) 2021: 335-346 | B |
| 62 | Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal, Rage Uday Kiran:Fruit classification using deep feature maps in the presence of deceptive similar classes. IJCNN 2021: 1-6 | A |
| 61 | Pamalla Veena, So Nakamura, Palla Likhitha, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu:A Unified Framework to Discover Partial Periodic-Frequent Patterns in Row and Columnar Temporal Databases. ICDM (Workshops) 2021: 607-614 | - |
| 60 | R. Uday Kiran:Discovering Knowledge Hidden in Raster Images using RasterMiner. ICDAR@ICMR 2021: 1 | - |
| 59 | Zhen Wang, Ji Zhang, Yizheng Chen, Chenhao Lu, Jerry Chun-Wei Lin, Jing Xiao, Rage Uday Kiran:Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data. PAKDD (1) 2021: 53-65. | A |
| 58 | Md. Mostafizer Rahman, Yutaka Watanobe, Rage Uday Kiran, Raihan Kabir:A Stacked Bidirectional LSTM Model for Classifying Source Codes Built in MPLs. PKDD/ECML Workshops (2) 2021: 75-89 | - |
| 57 | Md. Mostafizer Rahman, Yutaka Watanobe, Rage Uday Kiran, Truong Cong Thang, Incheon Paik:Challenges and Exit Strategies for Adapting Interactive Online Education Amid the Pandemic and its Aftermath. TALE 2021: 595-602 | B |
| 56 | Minh-Son Dao, Ngoc-Thanh Nguyen, R. Uday Kiran, Koji Zettsu: Fusion-3DCNN-max3P: A dynamic system for discovering patterns of predicted congestion. IEEE BigData 2020: 910-915. | (yet to be ranked; A*/A approx.) |
| 55 | Palla Likhitha, Penugonda Ravikumar, R. Uday Kiran, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava:Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases. IEEE BigData 2020: 4700-4709 | (yet to be ranked; A*/A approx.) |
| 54 | R. Uday Kiran, Sadanori Ito, Minh-Son Dao, Koji Zettsu, Cheng-Wei Wu, Yutaka Watanobe, Incheon Paik, Truong Cong Thang:Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture. IEEE BigData 2020: 4724-4733 | (yet to be ranked; A*/A approx.) |
| 53 | R. Uday Kiran, Yutaka Watanobe, Bhaskar Chaudhury, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa:Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases. DSAA 2020: 11-20 | (yet to be ranked; A*/A approx.) |
| 52 | R.Uday Kiran, C.Saideep, Penugonda Ravikumar, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases. FUZZ-IEEE 2020: 1-8 | A |
| 51 | R. R. Uday Kiran, Sourabh Shrivastava, Philippe Fournier-Viger, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa:Discovering Frequent Spatial Patterns in Very Large Spatiotemporal Databases. SIGSPATIAL/GIS 2020: 445-448 | (yet to be ranked; A approx.) |
| 50 | Minh-Son Dao, Ngoc-Thanh Nguyen, R. Uday Kiran, Koji Zettsu: Insights From Urban Sensing Data: From Chaos to Predicted Congestion Patterns. ICDM (Workshops) 2020: 661-668 | A |
| 49 | C. Saideep, R. Uday Kiran, Koji Zettsu, Cheng-Wei Wu, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa: Parallel Mining of Partial Periodic Itemsets in Big Data. IEA/AIE 2020: 807-819 | B |
| 48 | Philippe Fournier-Viger, Chao Cheng, Jerry Chun-Wei Lin, Unil Yun, R. Uday Kiran:TKG: Efficient Mining of Top-K Frequent Subgraphs. BDA 2019: 209-226 | (yet to be ranked; B approx.) |
| 47 | P. P. C. Reddy, R. Uday Kiran, Koji Zettsu, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases. BDA 2019: 287-306 | (yet to be ranked; B approx.) |
| 46 | R. Uday Kiran, C. Saideep, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases. BigData 2019: 233-238 | (yet to be ranked; A*/A approx.) |
| 45 | 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 | B |
| 44 | Rage Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy: Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases. ICDM Workshops 2019: 987-996 | - |
| 43 | C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, P. Krishna Reddy:Discovering Periodic Patterns in Irregular Time Series. ICDM Workshops 2019: 1020-1028 | - |
| 42 | 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 | B |
| 41 | R. Uday Kiran, T. Yashwanth Reddy, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa: Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility. PAKDD (2) 2019: 191-203 | A |
| 40 | 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 | A |
| 39 | R. Uday Kiran, Amulya Kotni, P. Krishna Reddy, Masashi Toyoda, Subhash Bhalla, Masaru Kitsuregawa: Efficient Discovery of Weighted Frequent Itemsets in Very Large Transactional Databases: A Re-visit. BigData 2018: 723-732 | (yet to be ranked; A*/A approx.) |
| 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 | B |
| 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 | B |
| 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: 119-120 | A* |
| 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 | B |
| 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 | A |
| 33 | R. Uday Kiran, Haichuan Shang, Masashi Toyoda, Masaru Kitsuregawa: Discovering Partial Periodic Itemsets in Temporal Databases. SSDBM 2017: 30:1-30:6 | A |
| 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 | B |
| 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 2015 | C |
| 30 | R. Uday Kiran, Masaru Kitsuregawa: Finding Periodic Patterns in Big Data. BDA 2015: 121-133 | (yet to be ranked; B approx.) |
| 29 | Haichuan Shang, Xiang Zhao, R. Uday Kiran, Masaru Kitsuregawa: Towards Scale-out Capability on Social Graphs. CIKM 2015: 253-262 | A |
| 28 | R. Uday Kiran, Masaru Kitsuregawa: Discovering Chronic-Frequent Patterns in Transactional Databases. DNIS 2015: 12-26 | - |
| 27 | R. Uday Kiran, Haichuan Shang, Masashi Toyoda, Masaru Kitsuregawa: Discovering Recurring Patterns in Time Series. EDBT 2015: 97-108 | A |
| 26 | R. Uday Kiran, Masaru Kitsuregawa: Novel Techniques to Reduce Search Space in Periodic-Frequent Pattern Mining. DASFAA (2) 2014: 377-391 | A |
| 25 | R. Uday Kiran, Masaru Kitsuregawa: An Improved Neighborhood-Restricted Association Rule-based Recommender System. ADC 2013: 43-50 | B |
| 24 | R. Uday Kiran, Masaru Kitsuregawa: Discovering Quasi-Periodic-Frequent Patterns in Transactional Databases. BDA 2013: 97-115 | - |
| 23 | R. Uday Kiran, Masaru Kitsuregawa: Towards Addressing the Coverage Problem in Association Rule-Based Recommender Systems. DEXA (2) 2013: 418-425 | B |
| 22 | R. Uday Kiran, Masaru Kitsuregawa: Mining Correlated Patterns with Multiple Minimum All-Confidence Thresholds. PAKDD Workshops 2013: 295-306 | - |
| 21 | R. Uday Kiran, Masashi Toyoda, Masaru Kitsuregawa: Towards efficient discovery of coverage patterns in transactional databases. SSDBM 2013: 38:1-38:4 | A |
| 20 | R. Uday Kiran, Masaru Kitsuregawa: Towards Efficient Discovery of Frequent Patterns with Relative Support. COMAD 2012: 92-99 | B |
| 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. ACM COMPUTE 2012: 1 | - |
| 18 | R. Uday Kiran, Masaru Kitsuregawa: Efficient Discovery of Correlated Patterns in Transactional Databases Using Items' Support Intervals. DEXA (1) 2012: 234-248 | B |
| 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 | A |
| 16 | Somya Srivastava, R. Uday Kiran, P. Krishna Reddy: Discovering Diverse-Frequent Patterns in Transactional Databases. COMAD 2011: 69-78 | B |
| 15 | R. Uday Kiran, P. Krishna Reddy: An Alternative Interestingness Measure for Mining Periodic-Frequent Patterns. DASFAA (1) 2011: 183-192 | A |
| 14 | 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 | - |
| 13 | 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 | A |
| 12 | Akshat Surana, R. Uday Kiran, P. Krishna Reddy: An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases. PAKDD Workshops 2011: 254-266 | - |
| 11 | Bhargav Sripada, Polepalli Krishna Reddy, Rage Uday Kiran: Coverage patterns for efficient banner advertisement placement. WWW (Companion Volume) 2011: 131-132 | A* |
| 10 | R. Uday Kiran, Polepalli Krishna Reddy: An Efficient Approach to Mine Rare Association Rules Using Maximum Items' Support Constraints. BNCOD 2010: 84-95 | C |
| 9 | Akshat Surana, R. Uday Kiran, P. Krishna Reddy: Selecting a Right Interestingness Measure for Rare Association Rules. COMAD 2010: 115 | B |
| 8 | R. Uday Kiran, P. Krishna Reddy: Mining periodic-frequent patterns with maximum items' support constraints. Bangalore Compute Conf. 2010: 1:1-1:8 | - |
| 7 | R. Uday Kiran, P. Krishna Reddy: Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies. DASFAA (1) 2010: 49-62 | A |
| 6 | R. Uday Kiran, P. Krishna Reddy: Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Databases. DEXA (2) 2010: 194-208 | B |
| 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 | - |
| 4 | R. Uday Kiran, P. Krishna Reddy: An improved multiple minimum support based approach to mine rare association rules. CIDM 2009: 340-347 | B |
| 3 | R. Uday Kiran, P. Krishna Reddy: Mining Rare Periodic-Frequent Patterns Using Multiple Minimum Supports. COMAD 2009 | B |
| 2 | R. Uday Kiran, P. Krishna Reddy: An Improved Frequent Pattern-growth Approach to Discover Rare Association Rules. KDIR 2009: 43-52 | - |
| 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 | - |
Note: (i) Citation count was last updated on 2-Feb-2020. (ii) "SJR" stands for "Scientific Journal Rankings". A click on each rank will direct you to the respective SJR page.
| S.No. | Publication | Citation count | Impact factor | SJR |
| 27 | P. Veena, R. Uday Kiran, P. Ravikumar, P. Likhitha, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava: A Fundamental Approach to Discover Closed Periodic-Frequent Patterns in Very Large Temporal Databases. To be appeared in the Journal of Applied Intelligence 2023 | NA | 5.524 | |
| 26 | Hong N. Dao, Penugonda Ravikumar, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Incheon Paik: Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases. IEEE Access 11: 12504-12524 (2023) | NA | 5.524 | |
| 25 | Phuc-Thinh Nguyen, Minh-Son Dao, Michael A. Riegler, Rage Uday Kiran, Thai-Thinh Dang, Duy-Dong Le, Kieu-Chinh Nguyen-Ly, Thanh-Qui Pham, Van-Luong Nguyen: Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs. Algorithms 16(1): 30 (2023) | NA | 5.524 | |
| 24 | Rage Uday Kiran, Pamalla Veena, Penugonda Ravikumar, Bathala Venus Vikranth Raj, Minh-Son Dao, Koji Zettsu, Sai Chithra Bommisetti: HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases Appl. Intell. 53(8): 8536-8561 (2023) | NA | 5.524 | |
| 23 | José María Luna, Rage Uday Kiran, Philippe Fournier-Viger, Sebastián Ventura:Efficient mining of top-k high utility itemsets through genetic algorithms. Inf. Sci. 624: 529-553 (2023) | NA | 5.524 | |
| 22 | Efficient Discovery of Partial Periodic Patterns in Large Temporal Databases. Kiran, R.U., Veena, P., Ravikumar, P., ...Kitsuregawa, M., Reddy, P.K. Electronics (Switzerland), 2022, 11(10), 1523 | NA | 5.524 | |
| 21 | Estimation of the Standardized Precipitation Evapotranspiration Index (SPEI) Using a Multilayer Perceptron Artificial Neural Network Model for Central India Shrivastava, S., Kiran, R.U., Bal, P.K., Singh, K.K.Pure and Applied Geophysics, 2022, 179(4), pp. 1461–1473 | NA | 5.524 | |
| 20 | Md. Mostafizer Rahman, Yutaka Watanobe, Taku Matsumoto, Rage Uday Kiran, Keita Nakamura:Educational Data Mining to Support Programming Learning Using Problem-Solving Data. IEEE Access 10: 26186-26202 (2022) | NA | 5.524 | |
| 19 | Philippe Fournier-Viger, Ying Wang, Peng Yang, Jerry Chun-Wei Lin, Unil Yun, Rage Uday Kiran:TSPIN: mining top-k stable periodic patterns. Appl. Intell. 52(6): 6917-6938 (2022) | NA | 5.524 | |
| 18 | Yutaka Watanobe, Md. Mostafizer Rahman, Taku Matsumoto, Rage Uday Kiran, Penugonda Ravikumar:Online Judge System: Requirements, Architecture, and Experiences. Int. J. Softw. Eng. Knowl. Eng. 32(6): 917-946 (2022) | NA | 5.524 | |
| 18 | Efficient discovery of periodic-frequent patterns in columnar temporal databases. Ravikumar, P., Likhitha, P., Raj, B.V.V., ...Watanobe, Y., Zettsu, K. Electronics (Switzerland), 2021, 10(12), 1478 | NA | 5.524 | |
| 17 | Md. Mostafizer Rahman, Yutaka Watanobe, Rage Uday Kiran, Truong Cong Thang, Incheon Paik: Impact of Practical Skills on Academic Performance: A Data-Driven Analysis. IEEE Access 9: 139975-139993 (2021) | NA | 5.524 | |
| 16 | Philippe Fournier-Viger, Peng Yang, Rage Uday Kiran, Sebastián Ventura, José María Luna: Mining local periodic patterns in a discrete sequence. Inf. Sci. 544: 519-548 (2021) [EI] | NA | 5.524 | |
| 15 | R. Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal Databases. IEEE Access 8: 27584-27596 (2020) [EI] | NA | 4.098 | |
| 14 | Philippe Fournier-Viger, Peng Yang, Zhitian Li, Jerry Chun-Wei Lin, Rage Uday Kiran: Discovering rare correlated periodic patterns in multiple sequences. Data Knowl. Eng. 126: 101733 (2020) [EI] | NA | 1.5 | |
| 13 | Philippe Fournier-Viger, Jiaxuan Li, Jerry Chun-Wei Lin, Tin Truong-Chi, R. Uday Kiran:Mining cost-effective patterns in event logs. Knowl. Based Syst. 191: 105241 (2020) [EI] | NA | 5.921 | |
| 12 | Philippe Fournier-Viger, Zhitian Li, Jerry Chun-Wei Lin, Rage Uday Kiran, Hamido Fujita:Efficient algorithms to identify periodic patterns in multiple sequences. Inf. Sci. 489: 205-226 (2019) [EI] | NA | 5.524 | |
| 11 | R. Uday Kiran, Alampally Anirudh, Chennupati Saideep, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa: Finding Periodic-Frequent Patterns in Temporal Databases using Periodic Summaries. Data Science and Pattern Recognition, Vol. 3, No. 2, pp. 24-46 (2019) | NA | 7.69 | - |
| 10 | P Fournier-Viger, Peng Yang, Zhitian Li, JCW Lin, R. Uday Kiran: Discovering Rare Correlated Periodic Patterns in Multiple Sequences. To be appeared in the journal of Data and Knowledge Engineering | NA | 1.467 | |
| 9 | P Fournier-Viger, JCW Lin, R. Uday Kiran, YS Koh, R Thomas: A survey of sequential pattern mining. Data Science and Pattern Recognition 1 (1), 54-77 (2018) | 102 | 7.69 | - |
| 8 | J. N. Venkatesh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa:Discovering Periodic-Correlated Patterns in Temporal Databases. T. Large-Scale Data- and Knowledge-Centered Systems 38: 146-172 (2018) [EI] | 1 | NA | - |
| 7 | R. Uday Kiran, J. N. Venkatesh, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:Discovering partial periodic-frequent patterns in a transactional database. Journal of Systems and Software 125: 170-182 (2017) [EI] | 9 | 2.28 | |
| 6 | R. Uday Kiran, Masaru Kitsuregawa, P. Krishna Reddy:Efficient discovery of periodic-frequent patterns in very large databases. Journal of Systems and Software 112: 110-121 (2016) [EI] | 22 | 2.28 | |
| 5 | R. Uday Kiran, Masaru Kitsuregawa: Efficient discovery of correlated patterns using multiple minimum all-confidence thresholds. J. Intell. Inf. Syst. 45(3): 357-377 (2015) [EI] | 5 | 1.107 | |
| 4 | P. Gowtham Srinivas, P. Krishna Reddy, A. V. Trinath, Bhargav Sripada, R. Uday Kiran(:Mining coverage patterns from transactional databases. J. Intell. Inf. Syst. 45(3): 423-439 (2015) [EI] | 13 | 1.107 | |
| 3 | Wei Guo, R. Uday Kiran, and Sesishi Ninomiya: Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model, Journal of Computers and Electronics in Agriculture, Vol. 96, pp. 58-66, 2013. [EI] | 96 | 2.427 | |
| 2 | M.Kumara Swamy, P. Krishna Reddy, R. Uday Kiran, and M. Venugopal Reddy: Temporality-based User Interface Design Approaches for Desktop and Small Screens. Appeared in International Journal of Computational Science and Engineering (IJCSE), Vol.7, No.1, 2012. [EI] | 5 | NA | - |
| 1 | R. Uday Kiran, P. Krishna Reddy, Mittapally Kumara Swamy, G. Syamasundar Reddy:Analysing dynamics of crop problems by applying text analysis methods on farm advisory data of eSaguTM. IJCSE 5(2): 154-164 (2010) [EI] | 3 | NA | - |
| S. No. | Publication details |
| 1 | R. Uday Kiran, Philippe Fournier-Viger, Jose M. Luna, Jerry Chun-Wei Lin, Anirban Mondal: Periodic Pattern Mining Theory, Algorithms, and Applications. Springer. Link |
| 2 | Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh K. Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran: Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, roceedings, Part I. Lecture Notes in Computer Science 13245, Springer 2022, ISBN 978-3-031-00122-2. Link |
| 3 | Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh K. Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran: Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13246, Springer 2022, ISBN 978-3-031-00125-3. Link |
| 4 | Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh K. Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran: Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13247, Springer 2022, ISBN 978-3-031-00128-4. Link |
| 5 | Rage Uday Kiran, Vikram Goyal, P. Krishna Reddy: Database Systems for Advanced Applications. DASFAA 2022 International Workshops - BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD, Virtual Event, April 11-14, 2022, Proceedings. Lecture Notes in Computer Science 13248, Springer 2022, ISBN 978-3-031-11216-4. Link |
| Patent Application | Title of Invention |
| 2021-047837 | Periodic neighborhood pattern detector, periodic neighborhood pattern detection program, and periodic neighborhood pattern detection method. 周期的近傍パターン検出装置、周期的近傍パターン検出プログラム 及び周期的近傍パターン検出方法 |
