Cluster-based outlier detection
暂无分享,去创建一个
[1] Aidong Zhang,et al. WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases , 1998, VLDB.
[2] Raymond T. Ng,et al. Finding Intensional Knowledge of Distance-Based Outliers , 1999, VLDB.
[3] Lida Xu,et al. Feature space theory - a mathematical foundation for data mining , 2001, Knowl. Based Syst..
[4] M. Braga,et al. Exploratory Data Analysis , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..
[5] Dimitrios Gunopulos,et al. Automatic subspace clustering of high dimensional data for data mining applications , 1998, SIGMOD '98.
[6] Hans-Peter Kriegel,et al. LOF: identifying density-based local outliers , 2000, SIGMOD '00.
[7] Lida Xu,et al. An Integrated Approach for Agricultural Ecosystem Management , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[8] Sridhar Ramaswamy,et al. Efficient algorithms for mining outliers from large data sets , 2000, SIGMOD '00.
[9] Shian-Shyong Tseng,et al. Two-phase clustering process for outliers detection , 2001, Pattern Recognit. Lett..
[10] Helder Gomes Costa,et al. Application of an integrated decision support process for supplier selection , 2007, Enterp. Inf. Syst..
[11] Jonathan Goldstein,et al. When Is ''Nearest Neighbor'' Meaningful? , 1999, ICDT.
[12] Hans-Peter Kriegel,et al. OPTICS: ordering points to identify the clustering structure , 1999, SIGMOD '99.
[13] Mei Zhang,et al. A rough set approach to knowledge reduction based on inclusion degree and evidence reasoning theory , 2003, Expert Syst. J. Knowl. Eng..
[14] Qing He,et al. MSMiner - a developing platform for OLAP , 2007, Decis. Support Syst..
[15] Cheng Hsu,et al. An industrial network flow information integration model for supply chain management and intelligent transportation , 2007, Enterp. Inf. Syst..
[16] Tian Zhang,et al. BIRCH: an efficient data clustering method for very large databases , 1996, SIGMOD '96.
[17] Wen-Xiu Zhang,et al. A knowledge processing method for intelligent systems based on inclusion degree , 2003, Expert Syst. J. Knowl. Eng..
[18] Daniel A. Keim,et al. An Efficient Approach to Clustering in Large Multimedia Databases with Noise , 1998, KDD.
[19] Lida Xu,et al. Feature space theory in data mining: transformations between extensions and intensions in knowledge representation , 2003, Expert Syst. J. Knowl. Eng..
[20] W. R. Buckland,et al. Outliers in Statistical Data , 1979 .
[21] Zengyou He,et al. Discovering cluster-based local outliers , 2003, Pattern Recognit. Lett..
[22] Petra Perner,et al. Data Mining - Concepts and Techniques , 2002, Künstliche Intell..
[23] Sudipto Guha,et al. CURE: an efficient clustering algorithm for large databases , 1998, SIGMOD '98.
[24] Jiawei Han,et al. CLARANS: A Method for Clustering Objects for Spatial Data Mining , 2002, IEEE Trans. Knowl. Data Eng..
[25] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[26] Lian Duan,et al. A Local Density Based Spatial Clustering Algorithm with Noise , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.
[27] Michael Ian Shamos,et al. Computational geometry: an introduction , 1985 .
[28] Li Xu. Advances in intelligent information processing , 2006, Expert Syst. J. Knowl. Eng..
[29] A. Madansky. Identification of Outliers , 1988 .
[30] Jean-Paul Jamont,et al. Flood decision support system on agent grid: method and implementation , 2007, Enterp. Inf. Syst..
[31] Raymond T. Ng,et al. Algorithms for Mining Distance-Based Outliers in Large Datasets , 1998, VLDB.
[32] Jiong Yang,et al. STING: A Statistical Information Grid Approach to Spatial Data Mining , 1997, VLDB.
[33] Theodore Johnson,et al. Fast Computation of 2-Dimensional Depth Contours , 1998, KDD.
[34] Azer Bestavros,et al. Self-similarity in World Wide Web traffic: evidence and possible causes , 1996, SIGMETRICS '96.