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| Efficient Mining of Interesting Patterns in Large Biological Sequences |
| Md. Mamunur Rashid, Md. Rezaul Karim, Byeong-Soo Jeong, Ho-Jin Choi |
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Genomics Inform. 2012;10(1):44-50. Published online March 31, 2012 DOI: https://doi.org/10.5808/GI.2012.10.1.44 |
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Efficient Mining of Interesting Patterns in Large Biological Sequences Genomics & Informatics. 2012;10(1):44  Efficient discovery of interesting patterns based on strong closedness Statistical Analysis and Data Mining: The ASA Data Science Journal. 2009;2(5-6):346-360 Efficient mining of weighted interesting patterns with a strong weight and/or support affinity Information Sciences. 2007;177(17):3477-3499 Efficient Single-Pass Mining of Weighted Interesting Patterns Lecture Notes in Computer Science. 2008;404-415 Parallel social network mining for interesting ‘following’ patterns Concurrency and Computation: Practice and Experience. 2016;28(15):3994-4012 A Novel Efficient Mining Algorithm for Frequent Patterns on Biological Multiple Sequence Applied Mechanics and Materials. 2010;44-47:3697-3701 Efficient mining for structurally diverse subgraph patterns in large molecular databases Machine Learning. 2010;83(2):193-218 An incremental mining algorithm for maintaining sequential patterns using pre-large sequences Expert Systems with Applications. 2011;38(6):7051-7058 Efficient and Accurate Discovery of Colossal Pattern Sequences from Biological Datasets: A Doubleton Pattern Mining Strategy (DPMine) Procedia Computer Science. 2015;54:412-421 Using interesting sequences to interactively build Hidden Markov Models Data Mining and Knowledge Discovery. 2010;21(1):186-220 |
