R. Uday Kiran

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 44

Top Topics

Top Venues

Publications

R. Uday Kiran, Abinash Maharana, Makiko Ohtake, Yoshiko Ogawa
Towards Addressing an Open Problem in Coupled Matrix Tensor Factorization for Satellite Imagery Data Using Human-in-Loop. IEA/AIE (2024)
Pamalla Veena, Palla Likhitha, R. Uday Kiran, José María Luna, Philippe Fournier-Viger, Koji Zettsu
Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series. FUZZ (2023)
Penugonda Ravikumar, R. Uday Kiran, Palla Likhitha, T. Chandrasekhar, Yutaka Watanobe, Koji Zettsu
Discovering Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases. DSAA (2022)
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)
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)
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)
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)
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)
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)
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)
R. Uday Kiran
Discovering Knowledge Hidden in Raster Images using RasterMiner. ICDAR@ICMR (2021)
R. Uday Kiran, Palla Likhitha, Minh-Son Dao, Koji Zettsu, Ji Zhang
Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases. ICONIP (5) (2021)
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)
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)
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)
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)
P. Likitha, Pamalla Veena, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu
Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases. IEEE BigData (2021)
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)
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)
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)
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)
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)
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)
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)
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 (2020)
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 (2020)
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)
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)
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)
Philippe Fournier-Viger, Chao Cheng, Jerry Chun-Wei Lin, Unil Yun, R. Uday Kiran
TKG: Efficient Mining of Top-K Frequent Subgraphs. BDA (2019)
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)
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)
R. Uday Kiran, C. Saideep, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases. IEEE BigData (2019)
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)
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)
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. IEEE BigData (2018)
J. N. Venkatesh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa
Discovering Periodic-Correlated Patterns in Temporal Databases. Trans. Large Scale Data Knowl. Centered Syst. 38 (2018)
Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa
An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns. DaWaK (2017)
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)
R. Uday Kiran, J. N. Venkatesh, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
Discovering partial periodic-frequent patterns in a transactional database. J. Syst. Softw. 125 (2017)
R. Uday Kiran, Haichuan Shang, Masashi Toyoda, Masaru Kitsuregawa
Discovering Partial Periodic Itemsets in Temporal Databases. SSDBM (2017)
Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa
Memory efficient mining of periodic-frequent patterns in transactional databases. SSCI (2016)
R. Uday Kiran, Masaru Kitsuregawa, P. Krishna Reddy
Efficient discovery of periodic-frequent patterns in very large databases. J. Syst. Softw. 112 (2016)
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)
R. Uday Kiran, Haichuan Shang, Masashi Toyoda, Masaru Kitsuregawa
Discovering Recurring Patterns in Time Series. EDBT (2015)
R. Uday Kiran, Masaru Kitsuregawa
Discovering Chronic-Frequent Patterns in Transactional Databases. DNIS (2015)
R. Uday Kiran, Masaru Kitsuregawa
Finding Periodic Patterns in Big Data. BDA (2015)
Haichuan Shang, Xiang Zhao, R. Uday Kiran, Masaru Kitsuregawa
Towards Scale-out Capability on Social Graphs. CIKM (2015)
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) (2015)
R. Uday Kiran, Masaru Kitsuregawa
Novel Techniques to Reduce Search Space in Periodic-Frequent Pattern Mining. DASFAA (2) (2014)
R. Uday Kiran, Masashi Toyoda, Masaru Kitsuregawa
Towards efficient discovery of coverage patterns in transactional databases. SSDBM (2013)
R. Uday Kiran, Masaru Kitsuregawa
Discovering Quasi-Periodic-Frequent Patterns in Transactional Databases. BDA (2013)
R. Uday Kiran, Masaru Kitsuregawa
An Improved Neighborhood-Restricted Association Rule-based Recommender System. ADC (2013)
R. Uday Kiran, Masaru Kitsuregawa
Towards Addressing the Coverage Problem in Association Rule-Based Recommender Systems. DEXA (2) (2013)
R. Uday Kiran, Masaru Kitsuregawa
Mining Correlated Patterns with Multiple Minimum All-Confidence Thresholds. PAKDD Workshops (2013)
R. Uday Kiran, Masaru Kitsuregawa
Towards Efficient Discovery of Frequent Patterns with Relative Support. COMAD (2012)
R. Uday Kiran, Masaru Kitsuregawa
Efficient Discovery of Correlated Patterns in Transactional Databases Using Items' Support Intervals. DEXA (1) (2012)
Mittapally Kumara Swamy, P. Krishna Reddy, R. Uday Kiran, M. Venugopal Reddy
Temporality-based user interface design approaches for desktop and small screen environment. Int. J. Comput. Sci. Eng. 7 (1) (2012)
P. Gowtham Srinivas, P. Krishna Reddy, Bhargav Sripada, R. Uday Kiran, D. Satheesh Kumar
Discovering Coverage Patterns for Banner Advertisement Placement. PAKDD (2) (2012)
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)
R. Uday Kiran, P. Krishna Reddy
An Alternative Interestingness Measure for Mining Periodic-Frequent Patterns. DASFAA (1) (2011)
Mohak Sharma, P. Krishna Reddy, R. Uday Kiran, Thirumalaisamy Ragunathan
Improving the Performance of Recommender System by Exploiting the Categories of Products. DNIS (2011)
Somya Srivastava, R. Uday Kiran, P. Krishna Reddy
Discovering Diverse-Frequent Patterns in Transactional Databases. COMAD (2011)
Akshat Surana, R. Uday Kiran, P. Krishna Reddy
An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases. PAKDD Workshops (2011)
R. Uday Kiran, P. Krishna Reddy
Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms. EDBT (2011)
R. Uday Kiran, Polepalli Krishna Reddy
An Efficient Approach to Mine Rare Association Rules Using Maximum Items' Support Constraints. BNCOD (2010)
R. Uday Kiran, P. Krishna Reddy
Mining periodic-frequent patterns with maximum items' support constraints. Bangalore Compute Conf. (2010)
R. Uday Kiran, P. Krishna Reddy
Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Databases. DEXA (2) (2010)
Mittapally Kumara Swamy, P. Krishna Reddy, R. Uday Kiran, M. Venugopal Reddy
Interface Tailoring by Exploiting Temporality of Attributes for Small Screens. DNIS (2010)
R. Uday Kiran, P. Krishna Reddy
Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies. DASFAA (1) (2010)
Akshat Surana, R. Uday Kiran, P. Krishna Reddy
Selecting a Right Interestingness Measure for Rare Association Rules. COMAD (2010)
R. Uday Kiran, P. Krishna Reddy, Mittapally Kumara Swamy, G. Syamasundar Reddy
. Int. J. Comput. Sci. Eng. 5 (2) (2010)
R. Uday Kiran, P. Krishna Reddy
An improved multiple minimum support based approach to mine rare association rules. CIDM (2009)
R. Uday Kiran, P. Krishna Reddy
An Improved Frequent Pattern-growth Approach to Discover Rare Association Rules. KDIR (2009)
R. Uday Kiran, P. Krishna Reddy
Mining Rare Periodic-Frequent Patterns Using Multiple Minimum Supports. COMAD (2009)
R. Uday Kiran, P. Krishna Reddy
. DNIS (2007)