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 |