Progressive Sampling Algorithm: Difference between revisions
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* ([[1999_EfficientProgressiveSampling|Provost et al., 1999]]) ⇒ [[Foster Provost]], [[David Jensen]], and Tim Oates. | * ([[1999_EfficientProgressiveSampling|Provost et al., 1999]]) ⇒ [[Foster Provost]], [[David Jensen]], and Tim Oates. “[http://dx.doi.org/10.1145/312129.312188 Efficient Progressive Sampling].” In: Proceedings of the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ([[KDD-1999]]). | ||
** … [[We]] analyze [[Algorithm|methods]] for ''[[Progressive Sampling Algorithm|progressive sampling]]'' - using progressively larger [[samples]] as long as [[Induced Classification Model|model]] [[Classifier Performance|accuracy]] improves. | ** … [[We]] analyze [[Algorithm|methods]] for ''[[Progressive Sampling Algorithm|progressive sampling]]'' - using progressively larger [[samples]] as long as [[Induced Classification Model|model]] [[Classifier Performance|accuracy]] improves. | ||
Latest revision as of 07:01, 8 May 2024
A Progressive Sampling Algorithm is a Sampling Algorithm that is an Iterative Algorithm.
- Context:
- It can be used to create an efficient Supervised Learning Algorithm.
- It can be used to create an efficient Feature Reduction Algorithm.
- See: Feature Selection Algorithm.
References
2009
- (Last, 2009) ⇒ Mark Last. (2009). “Improving Data Mining Utility with Projective Sampling.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557076
2003
- (Melli et al., 2003) ⇒ Gabor Melli, Siavash Amirrezvani, Felix Chen, and Neil Russell. (2003). “Column Reduction During Progressive Sampling.” In: Workshop on Data Mining for Actionable Knowledge (DMAK 2003).
2002
- S. Parthasarathy. (2002). “Efficient Progressive Sampling for Association Rules.” In: Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002).
1999
- (Provost et al., 1999) ⇒ Foster Provost, David Jensen, and Tim Oates. “Efficient Progressive Sampling.” In: Proceedings of the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-1999).