Rage Uday Kiran
Associate Professor
&
Researcher

Journal publications

S.No. Publication Citation count Impact factor
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, RU 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

Conference publications

S.No. Publication Citation count
42 T. Yashwanth, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy and Masaru Kitsuregawa: Discovering Partial Periodic High UtilityItemsets in Temporal Databases. To be appeared in DEXA 2019. NA
41 R. Uday Kiran, Koji Zettsu, Yuji Uchiyama, Masashi Toyoda, Masaru Kitsuregawa, Philippe Fournier-Viger: Discovering Spatial High Utility Itemsets in Spatiotemporal Databases. To be appeared in SSDBM 2019. 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