Rage Uday Kiran

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Krishna Reddy PProfessor of Computer Science, IIIT Hyderabad, INdiaVerified email at iiit.ac.in
Philippe Fournier-VigerDistinguished professor, Shenzhen University, ChinaVerified email at szu.edu.cn
Masashi ToyodaInstitute of Industrial Science, The University of TokyoVerified email at acm.org
Jerry Chun-Wei LinProfessor in BigData and AIVerified email at ieee.org
Penugonda RavikumarAssistant Professor, IIIT RK Valley, RGUKT - APVerified email at rguktrkv.ac.in
likhitha pallaMasters's Student at the University of AizuVerified email at u-aizu.ac.jp
Minh-Son DaoNational Institute of Information and Communications Technology (NICT)Verified email at uit.edu.vn
Saideep ChennupatiIIIT HYDERABADVerified email at research.iiit.ac.in
Peng YangMaster, Harbin Institute of Technology (Shenzhen)Verified email at stu.hit.edu.cn
Yun Sing KohThe University of AucklandVerified email at auckland.ac.nz
J N VenkateshData Science and Analytics Center, KCIS, International Institute of Information TechnologyVerified email at research.iiit.ac.in
Incheon PaikUniversity of AizuVerified email at u-aizu.ac.jp
Md. Mostafizer Rahman, PhDDhaka University of Engineering & TechnologyVerified email at duet.ac.bd
José María Luna (ORCID: 0000-0003-...Associate Professor of Computing and Artificial Intelligence, University of CordobaVerified email at uco.es
Anirudh AlampallyInternational Institute of Information Technology, HyderabadVerified email at research.iiit.ac.in
Truong, Cong ThangThe University of AizuVerified email at u-aizu.ac.jp
Hamido FujitaIwate Prefectural UniversityVerified email at acm.org
Unil YunSejong UniversityVerified email at sejong.ac.kr
Sebastián Ventura (ORCID: 0000-000...Professor of Computing and Artificial Intelligence, University of Cordoba (RoR:05yc77b46)Verified email at uco.es
Sourabh ShrivastavaHokkaido UniversityVerified email at eng.hokudai.ac.jp

Rage Uday Kiran

Associate professor, The University of Aizu, Aizu Wakamatsu, Fukushima, Japan

Verified email at u-aizu.ac.jp - Homepage

Data mining Big Data Analytics ICTs in Agriculture


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A survey of sequential pattern mining P Fournier-Viger, JCW Lin, RU Kiran, YS Koh, R Thomas Data Science and Pattern Recognition 1 (1), 54-77, 2017	631	2017
An improved multiple minimum support based approach to mine rare association rules RU Kiran, PK Re 2009 IEEE Symposium on Computational Intelligence and Data Mining, 340-347, 2009	136	2009
Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms RU Kiran, PK Reddy Proceedings of the 14th international conference on extending database …, 2011	90	2011
Efficient discovery of periodic-frequent patterns in very large databases RU Kiran, M Kitsuregawa, PK Reddy Journal of Systems and Software 112, 110-121, 2016	84	2016
An efficient approach to mine periodic-frequent patterns in transactional databases A Surana, RU Kiran, PK Reddy New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops …, 2012	71	2012
Towards efficient mining of periodic-frequent patterns in transactional databases R Uday Kiran, P Krishna Reddy Database and Expert Systems Applications: 21th International Conference …, 2010	56	2010
Efficient algorithms to identify periodic patterns in multiple sequences P Fournier-Viger, Z Li, JCW Lin, RU Kiran, H Fujita Information Sciences 489, 205-226, 2019	50	2019
Mining rare association rules in the datasets with widely varying items’ frequencies RU Kiran, PK Reddy Database Systems for Advanced Applications: 15th International Conference …, 2010	45	2010
Mining cost-effective patterns in event logs P Fournier-Viger, J Li, JCW Lin, TT Chi, RU Kiran Knowledge-Based Systems 191, 105241, 2020	41	2020
Discovering Recurring Patterns in Time Series. RU Kiran, H Shang, M Toyoda, M Kitsuregawa EDBT, 97-108, 2015	41	2015
Selecting a Right Interestingness Measure for Rare Association Rules. A Surana, RU Kiran, PK Reddy COMAD, 115, 2010	41	2010
Novel techniques to reduce search space in periodic-frequent pattern mining RU Kiran, M Kitsuregawa Database Systems for Advanced Applications: 19th International Conference …, 2014	40	2014
Discovering stable periodic-frequent patterns in transactional data P Fournier-Viger, P Yang, JCW Lin, RU Kiran Advances and Trends in Artificial Intelligence. From Theory to Practice …, 2019	39	2019
An alternative interestingness measure for mining periodic-frequent patterns RU Kiran, PK Reddy Database Systems for Advanced Applications: 16th International Conference …, 2011	32	2011
Mining local periodic patterns in a discrete sequence P Fournier-Viger, P Yang, RU Kiran, S Ventura, JM Luna Information Sciences 544, 519-548, 2021	31	2021
Discovering partial periodic-frequent patterns in a transactional database RU Kiran, JN Venkatesh, M Toyoda, M Kitsuregawa, PK Reddy Journal of Systems and Software 125, 170-182, 2017	31	2017
Discovering partial periodic itemsets in temporal databases RU Kiran, H Shang, M Toyoda, M Kitsuregawa Proceedings of the 29th International Conference on Scientific and …, 2017	29	2017
Tkg: Efficient mining of top-k frequent subgraphs P Fournier-Viger, C Cheng, JCW Lin, U Yun, RU Kiran Big Data Analytics: 7th International Conference, BDA 2019, Ahmedabad, India …, 2019	27	2019
Discovering periodic patterns in non-uniform temporal databases RU Kiran, JN Venkatesh, P Fournier-Viger, M Toyoda, PK Reddy, ... Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017	27	2017
Memory efficient mining of periodic-frequent patterns in transactional databases A Anirudh, RU Kirany, PK Reddy, M Kitsuregaway 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016	27	2016

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