Basic Information

Affiliation
Database Systems Laboratory
Title
Associate Professor
E-Mail
udayrage@u-aizu.ac.jp
Web site
~udayrage

Education

Courses - Undergraduate
B.Tech.
Courses - Graduate
PhD in Computer science

Research

Specialization
Data Mining
Recommender systems
Transportation systems
Educational Background, Biography
Studied PhD at International Institute of Information Technology-Hyderabad, India.
Internship at International Crop Research Insitute for Semi-Arid Tropics (ICRISAT).
Worked at Kitsuregawa Lab, Institute of Industrial Science, University of Tokyo, Tokyo, Japan.
Worked at Big Data Analytics Laboratory, National Institute of Information and Communications Technology (NICT), Tokyo, Japan.
Current Research Theme
Discovering interesting patterns in spatiotemporal databases<br>Energy efficient distributed mining of interesting patterns in very large databases
Key Topic
Affiliated Academic Society
ACM

Others

Hobbies
Gaming and reading books.
School days' Dream
Wanna design a robot
Current Dream
Become a renowned researcher
Motto
Favorite Books
Wealth of Nations
Fortune at the Bottom of Pyramid
Messages for Students
Quality often wins over Quantity. (E.g. A glass of Cows milk is more valuable than a bucket of Donkeys milk)

Academic: Learn subjects of your interest in detail/depth
Research: Work hard and try to publish articles in top-tier conferences/journal.
Publications other than one's areas of specialization

Dissertation and Published Works

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)
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)
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)
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
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
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
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
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
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
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
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
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
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: 146-172 (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. BigData 2018: 723-732
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
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
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
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: 170-182 (2017)
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
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
R. Uday Kiran, Haichuan Shang, Masashi Toyoda, Masaru Kitsuregawa:Discovering Partial Periodic Itemsets in Temporal Databases. SSDBM 2017: 30:1-30:6
R. Uday Kiran, Masaru Kitsuregawa, P. Krishna Reddy:Efficient discovery of periodic-frequent patterns in very large databases. J. Syst. Softw. 112: 110-121 (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: 55-70
Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa:Memory efficient mining of periodic-frequent patterns in transactional databases. SSCI 2016: 1-8
Rage Uday Kiran, Masaru Kitsuregawa:Efficient discovery of correlated patterns using multiple minimum all-confidence thresholds. J. Intell. Inf. Syst. 45(3): 357-377 (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): 423-439 (2015)
R. Uday Kiran, Masaru Kitsuregawa:Finding Periodic Patterns in Big Data. BDA 2015: 121-133,Our paper titled "Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases" has been accepted for the publication in IEEE FUZZY 2020.

Our paper titled "Parallel Mining of Partial Periodic Itemsets in big data" have been accepted for the publication in IEA/AIE 2020.

Our paper titled "Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal databases" has been accepted for publication in the prestigious IEEE ACCESS.
(Impact factor: 4.098)