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FAARM: Frequent Association Action Rules Mining Using FP-Tree.

, , , and . ICDM Workshops, page 398-404. IEEE Computer Society, (2011)

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Diagnosis and Grading of Alzheimer's Disease via Automatic Classification of FDG-PET Scans., , , , and . Brain and Health Informatics, volume 8211 of Lecture Notes in Computer Science, page 266-276. Springer, (2013)Computational framework for generating synthetic signal peptides., , , , and . BCB, page 30:1-30:7. ACM, (2022)Prescriptive Equipment Maintenance: A Framework., , and . IEEE BigData, page 4366-4374. IEEE, (2019)Multi-layered Vector Spaces for Classifying and Analyzing Biological Sequences., , and . BICoB, page 160-166. ISCA, (2011)On discovering "potentially useful" patterns from databases., , , and . GrC, page 494-497. IEEE, (2006)Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models., , , and . RSFDGrC, volume 8170 of Lecture Notes in Computer Science, page 15-25. Springer, (2013)RARE: Rare Action Rule Exploration., , , and . IEEE BigData, page 2603-2610. IEEE, (2021)Security Procedures for Classification Mining Algorithms., and . DBSec, volume 215 of IFIP Conference Proceedings, page 285-297. Kluwer, (2001)Algorithms for discovering potentially interesting patterns., , , and . Int. J. Granul. Comput. Rough Sets Intell. Syst., 2 (2): 107-122 (2011)Efficient Algorithm for Discovering Potential Interesting Patterns with Closed Itemsets., , , and . GrC, page 414-419. IEEE Computer Society, (2010)