LSIS: Large scale instance selection algorithm for big data
暂无分享,去创建一个
[1] Joel Luis Carbonera,et al. A Density-Based Approach for Instance Selection , 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).
[2] Peter E. Hart,et al. The condensed nearest neighbor rule (Corresp.) , 1968, IEEE Trans. Inf. Theory.
[3] Juan José Rodríguez Diez,et al. Instance selection of linear complexity for big data , 2016, Knowl. Based Syst..
[4] Álvar Arnaiz-González,et al. MR-DIS: democratic instance selection for big data by MapReduce , 2017, Progress in Artificial Intelligence.
[5] Francisco Herrera,et al. MRPR: A MapReduce solution for prototype reduction in big data classification , 2015, Neurocomputing.
[6] Joel Luis Carbonera,et al. A Novel Density-Based Approach for Instance Selection , 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).
[7] Michael J. Franklin,et al. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing , 2012, NSDI.
[8] Boonserm Kijsirikul,et al. SV-kNNC: an algorithm for improving the efficiency of k-nearest neighbor , 2006 .
[9] Francisco Herrera,et al. Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Antonio González Muñoz,et al. Three new instance selection methods based on local sets: A comparative study with several approaches from a bi-objective perspective , 2015, Pattern Recognit..