Multidimensional Adaptative kNN over Tracking Outliers (Makoto)
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46661-8_36
Reference17 articles.
1. Aggarwal, C.C.: Outlier Analysis. Springer International Publishing, Cham (2015). https://doi.org/10.1007/978-3-319-47578-3
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3. Baoli, L., Qin, L., Shiwen, Y.: An adaptive k-nearest neighbor text categorization strategy. ACM Trans. Asian Lang. Inform. Process. 3(4), 215–226 (2004). https://doi.org/10.1145/1039621.1039623
4. Breunig, M., Kriegel, H.P., Ng, R., Sander, J.: LOF: identifying density-based local outliers. In: ACM Sigmod Record, vol. 29, pp. 93–104 (Jun 2000). https://doi.org/10.1145/342009.335388
5. Chehreghani, M.H.: K-nearest neighbor search and outlier detection via minimax distances. In: Proceedings of the 2016 SIAM International Conference on Data Mining, p. 9. Society for Industrial and Applied Mathematics (2016). https://doi.org/10.1137/1.9781611974348.46
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