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| An Efficient Approach to Mining Maximal Contiguous Frequent Patterns from Large DNA Sequence Databases |
| Md. Rezaul Karim, Md. Mamunur Rashid, Byeong-Soo Jeong, Ho-Jin Choi |
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Genomics Inform. 2012;10(1):51-57. Published online March 31, 2012 DOI: https://doi.org/10.5808/GI.2012.10.1.51 |
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An Efficient Approach to Mining Maximal Contiguous Frequent Patterns from Large DNA Sequence Databases Genomics & Informatics. 2012;10(1):51  Efficient Algorithms for Mining Frequent Patterns from Sparse and Dense Databases Journal of Intelligent Systems. 2015;24(2):181-197 Compact inâmemory representation of large graph databases for efficient mining of maximal frequent sub graphs Concurrency and Computation: Practice and Experience. 2019;33(3): Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach Information Sciences. 2018;432:278-300 Efficient mining of maximal frequent itemsets from databases on a cluster of workstations Knowledge and Information Systems. 2007;16(3):359-391 Discovering Frequent Patterns in Very Large Transactional Databases Periodic Pattern Mining. 2021;23-40 An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases Lecture Notes in Computer Science. 2012;254-266 An efficient mining algorithm for maximal weighted frequent patterns in transactional databases Knowledge-Based Systems. 2012;33:53-64 An Efficient Approach for Mining Weighted Frequent Patterns from Data Stream 2021 2nd International Conference for Emerging Technology (INCET). 2021; Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA). 2020; |
