Density-based Outlier Detection in Multi-dimensional Datasets |
Wang, Xite
(Dalian Maritime University)
Cao, Zhixin (Dalian Maritime University) Zhan, Rongjuan (Dalian Maritime University) Bai, Mei (Dalian Maritime University) Ma, Qian (Dalian Maritime University) Li, Guanyu (Dalian Maritime University) |
1 | Chongsheng Zhang, Zhongbo Wu, Bo Qu, Hong Chen, "Mining Top-n Local Outliers in Constrained Spatial Networks," in Proc. of the 4th international conference on Advanced Data Mining and Applications, Springer, vol. 5139, no. 008, pp.725-732, Oct. 2008. |
2 | Jin L, Chen J, Zhang X, "An Outlier Fuzzy Detection Method Using Fuzzy Set Theory," IEEE Access, vol. 357, no. 99, pp.59321-59322, 2019. |
3 | Gustavo Henrique Orair, Carlos H. C. Teixeira, "Distance-Based Outlier Detection: Consolidation and Renewed Bearing," Proceedings of the VLDB Endowment, vol. 3, no.2, pp.1469-1480, Oct. 2010. DOI |
4 | Tian Xia, "Improving the R*-tree with outlier handling techniques," in Proc. of International Workshop on Geographic Information Systems, Bremen, Germany, pp.125-134, Nov. 2005. |
5 | Papadimitriou S, Kitagawa H, Gibbons P B, et al, "LOCI: Fast Outlier Detection Using the Local Correlation Integral," in Proc. of the 19th International Conference on Data Engineering, March, Bangalore, India, pp.315-326, Mar. 2003. |
6 | He Z, Xu X, Deng S, "Discovering Cluster Based Local Outliers," Pattern Recognition Letters, vol.24, no. 9, pp. 1641-1650, 2003. DOI |
7 | Zhong Y, Wang x, Bai M, et al, "FODU: fast outlier detection method in uncertain data sets," Computer engineering and applications, vol.55, no. 19, pp.105-114, 2019. |
8 | Schubert E, Zimek A, Kriegel H P, "Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection," Data Mining and Knowledge Discovery, vol. 28, no. 1, pp.190-237, 2014. DOI |
9 | Nguyen M Q, Omiecinski E, Mark L, et al, "A Fast Randomized Method for Local DensityBased Outlier Detection in High Dimensional Data," Data Warehousing and Knowledge Discovery, Bilbao, Spain, pp.215-226, Aug. 2010. |
10 | Zhao X, Cui W, Wu Y, et al, "Outlier Interpretation on Multi-dimensional Data via Visual Analytic," in Proc. of Computer Graphics Forum, vol. 38, no.3, pp.213-214, Oct. 2019. |
11 | Bo Tang, Haibo He, "A Local Density-Based Approach for Local Outlier Detection," CoRR, Mar. 2016. |
12 | Han J, Micheline K, "Data mining: concepts and techniques," data mining concepts models methods & algorithms second edition, vol. 5, no. 4, pp.1-18, Jan. 2006. |
13 | Mengliang Shao, Deyu Qi, Huili Xue, "Big data outlier detection model based on improved density peak algorithm," J. Intell. Fuzzy Syst., vol. 40, pp.6185-6194, May. 2021. DOI |
14 | Yan Gao, "Deep Model-Based Semi-Supervised Learning Way for Outlier Detection in Wireless Capsule Endoscopy Images," IEEE Access, vol. 8, pp.81621-81632, Oct. 2020. DOI |
15 | Bay S D, Schwabacher M, "Mining distance-based outliers in near linear time with randomization and a simple pruning rule," in Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, USA, pp.29-38, Aug. 2003. |
16 | Xiangmin Zhou, Guoren Wang, Jeffrey Xu Yu, "M+-tree : A New Dynamical Multidimensional Index for Metric Spaces," in Proc. of Fourteenth Australasian Database Conference (ADC2003), vol. 17, pp.161-168, Feb. 2003 |
17 | Lin Mei, Fengli Zhang, et al, "A Distributed Density-based Outlier Detection Algorithm on Big Data," Int. J. Netw. Secur., vol.22, no.5, pp. 775-781, Jan. 2020. |
18 | Hu C, Qin X, "A Density-Based Local Outlier Detecting Algorithm," Computer research and development, vol.47, no.12, pp. 2110-2116, Dec. 2010. |
19 | Matsumoto T, Hung E, Edward, Yiu L, et al, "Parallel outlier detection on uncertain data for GPUs," Distributed and Parallel Databases, vol.33, no. 3, pp.417-447, 2015. DOI |
20 | Huawen Liu. Xuelong, Jiuyong Li, "Efficient Outlier Detection for High-Dimensional Data," IEEE Trans. Syst. Man Cybern. Syst., vol.48, no.12, pp. 2451-2461, 2018. DOI |
21 | Schubert E, Gertz M, "Intrinsic t-Stochastic Neighbor Embedding for Visualization and Outlier Detection," in Proc. of International Conference on Similarity Search & Applications, Munich, Germany, pp.188-203, Oct. 2017. |
22 | Mostafa Rahmani, George K. Atia, "Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices," IEEE Trans. Signal Process., vol. 65, no. 6, pp.1580-1594, May. 2017. DOI |
23 | Angiuulli F, Pizzuti C, "Outlier mining in large high-dimensional data sets," IEEE Transactions on Knowledge & Data Engineering, vol. 17, no. 2, pp.203-215, Feb. 2005. DOI |
24 | Wang X, Shen D, Bai M, et al, "An Efficient Algorithm for Distributed Outlier Detection in Large Multi-Dimensional Dataset," Journal of Computer Science and Technology, vol. 30, no. 6, pp.1233-1248, Oct. 2015. DOI |
25 | Zhang K, Hutter M, Jin H, "A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data," in Proc. of Pacific- Conference on Knowledge Discovery & Data Mining, Bangkok, Thailand, pp.813-822, Apr. 2009. |
26 | De Ridder D, "An Experimental Comparison of One-class Classification Methods," in Proc. of the 4th Annual Conference of the Advanced School for Computing and Imaging, Delft, NL, pp. 121-130, 1998. |
27 | Asuncion A, Newman D, "UCI machine learning repository," 2015. |
28 | Xue A, Yao L, Ju S, et al, "Survey of outlier mining methods," Computer science, vol. 35, no. 11, pp.13-18, Oct. 2008. DOI |
29 | Kriegel H P, Schubert M, Zimek A, "Angle-based outlier detection in high-dimensional data," in Proc. of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, pp. 444-452, Aug. 2008. |
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