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Rage Uday Kiran
Rage Uday Kiran
Associate professor, The University of Aizu, Aizu Wakamatsu, Fukushima, Japan
Bestätigte E-Mail-Adresse bei u-aizu.ac.jp - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
7722017
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
1372009
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
952016
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
952011
An efficient approach to mine periodic-frequent patterns in transactional databases
A Surana, RU Kiran, PK Reddy
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 254-266, 2011
792011
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
622019
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
612010
Mining cost-effective patterns in event logs
P Fournier-Viger, J Li, JCW Lin, TT Chi, RU Kiran
Knowledge-Based Systems 191, 105241, 2020
562020
Educational data mining to support programming learning using problem-solving data
MM Rahman, Y Watanobe, T Matsumoto, RU Kiran, K Nakamura
IEEE Access 10, 26186-26202, 2022
532022
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
492019
Novel techniques to reduce search space in periodic-frequent pattern mining
RU Kiran, M Kitsuregawa
Database Systems for Advanced Applications: 19th International Conference …, 2014
472014
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
472010
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
462021
Impact of practical skills on academic performance: A data-driven analysis
MM Rahman, Y Watanobe, RU Kiran, TC Thang, I Paik
IEEE Access 9, 139975-139993, 2021
432021
Discovering Recurring Patterns in Time Series.
RU Kiran, H Shang, M Toyoda, M Kitsuregawa
EDBT, 97-108, 2015
422015
Selecting a Right Interestingness Measure for Rare Association Rules.
A Surana, RU Kiran, PK Reddy
COMAD, 115, 2010
422010
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
372017
TSPIN: mining top-k stable periodic patterns
P Fournier-Viger, Y Wang, P Yang, JCW Lin, U Yun, RU Kiran
Applied Intelligence, 1-22, 2022
362022
An alternative interestingness measure for mining periodic-frequent patterns
RU Kiran, PK Reddy
Database Systems for Advanced Applications: 16th International Conference …, 2011
362011
Efficient mining of top-k high utility itemsets through genetic algorithms
JM Luna, RU Kiran, P Fournier-Viger, S Ventura
Information Sciences 624, 529-553, 2023
352023
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