A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes
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[1] ParthasarathySrinivasan,et al. Fast Distributed Outlier Detection in Mixed-Attribute Data Sets , 2006 .
[2] Raghu Ramakrishnan,et al. When Is Nearest Neighbors Indexable? , 2005, ICDT.
[3] Zengyou He,et al. A Fast Greedy Algorithm for Outlier Mining , 2005, PAKDD.
[4] E. Acuña,et al. A Meta analysis study of outlier detection methods in classification , 2004 .
[5] Douglas M. Hawkins. Identification of Outliers , 1980, Monographs on Applied Probability and Statistics.
[6] Georgios C. Anagnostopoulos,et al. A Scalable and Efficient Outlier Detection Strategy for Categorical Data , 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).
[7] Georgios C. Anagnostopoulos,et al. Detecting Outliers in High-Dimensional Datasets with Mixed Attributes , 2008, DMIN.
[8] Zhan Yong-zhao. Support vector data description discriminant analysis , 2011 .
[9] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[10] David J. Hand,et al. Statistical fraud detection: A review , 2002 .
[11] Vic Barnett,et al. Outliers in Statistical Data , 1980 .
[12] Srinivasan Parthasarathy,et al. Toward unsupervised correlation preserving discretization , 2005, IEEE Transactions on Knowledge and Data Engineering.
[13] Ramakrishnan Srikant,et al. Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.
[14] Jean-François Boulicaut,et al. A Survey on Condensed Representations for Frequent Sets , 2004, Constraint-Based Mining and Inductive Databases.
[15] Hans-Peter Kriegel,et al. LOF: identifying density-based local outliers , 2000, SIGMOD '00.
[16] Vipin Kumar,et al. Introduction to Data Mining , 2022, Data Mining and Machine Learning Applications.
[17] David W. Aha,et al. Feature Selection for Case-Based Classification of Cloud Types: An Empirical Comparison , 1994 .
[18] Jaideep Srivastava,et al. Data Mining for Network Intrusion Detection , 2002 .
[19] Clara Pizzuti,et al. Outlier mining in large high-dimensional data sets , 2005, IEEE Transactions on Knowledge and Data Engineering.
[20] Alan F. Murray,et al. International Joint Conference on Neural Networks , 1993 .
[21] Vipin Kumar,et al. Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data , 2003, SDM.
[22] Jonathan Goldstein,et al. When Is ''Nearest Neighbor'' Meaningful? , 1999, ICDT.
[23] Aleksandar Lazarevic,et al. Outlier Detection with Kernel Density Functions , 2007, MLDM.
[24] Raymond T. Ng,et al. Distance-based outliers: algorithms and applications , 2000, The VLDB Journal.
[25] Peter J. Rousseeuw,et al. Robust Regression and Outlier Detection , 2005, Wiley Series in Probability and Statistics.
[26] Stephen D. Bay,et al. Mining distance-based outliers in near linear time with randomization and a simple pruning rule , 2003, KDD '03.
[27] Hans-Peter Kriegel,et al. LOF: identifying density-based local outliers , 2000, SIGMOD 2000.
[28] Victoria J. Hodge,et al. A Survey of Outlier Detection Methodologies , 2004, Artificial Intelligence Review.
[29] Bart Goethals,et al. Tight upper bounds on the number of candidate patterns , 2005, TODS.
[30] Tao Xiong,et al. A combined SVM and LDA approach for classification , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[31] Ran Wolff,et al. In-Network Outlier Detection in Wireless Sensor Networks , 2006, ICDCS.
[32] Stephen J. Roberts,et al. A Probabilistic Resource Allocating Network for Novelty Detection , 1994, Neural Computation.
[33] Philip S. Yu,et al. Outlier detection for high dimensional data , 2001, SIGMOD '01.
[34] Kay I Penny,et al. A comparison of multivariate outlier detection methods for clinical laboratory safety data , 2001 .
[35] Srinivasan Parthasarathy,et al. Fast Distributed Outlier Detection in Mixed-Attribute Data Sets , 2006, Data Mining and Knowledge Discovery.
[36] Raymond T. Ng,et al. Algorithms for Mining Distance-Based Outliers in Large Datasets , 1998, VLDB.
[37] Vipin Kumar,et al. Introduction to Data Mining, (First Edition) , 2005 .
[38] Hongxing He,et al. Outlier Detection Using Replicator Neural Networks , 2002, DaWaK.
[39] Michael Georgiopoulos,et al. Fast parallel outlier detection for categorical datasets using MapReduce , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).
[40] Robert P. W. Duin,et al. Support Vector Data Description , 2004, Machine Learning.
[41] Michael Ian Shamos,et al. Computational geometry: an introduction , 1985 .
[42] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[43] Donald Ervin Knuth,et al. The Art of Computer Programming , 1968 .
[44] Christos Faloutsos,et al. LOCI: fast outlier detection using the local correlation integral , 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).
[45] Georgios C. Anagnostopoulos,et al. A Scalable and Efficient Outlier Detection Strategy for Categorical Data , 2007 .
[46] Jaideep Srivastava,et al. A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection , 2003, SDM.
[47] Sanjay Ghemawat,et al. MapReduce: simplified data processing on large clusters , 2008, CACM.
[48] Hongjun Lu,et al. Finding centric local outliers in categorical/numerical spaces , 2006, Knowledge and Information Systems.
[49] Costas S. Tzafestas,et al. Maximum Likelihood SLAM in Dynamic Environments , 2007 .
[50] M.A. Akbar,et al. A comparative study of anomaly detection algorithms for detection of SIP flooding in IMS , 2008, 2008 2nd International Conference on Internet Multimedia Services Architecture and Applications.
[51] Peter J. Rousseeuw,et al. Robust regression and outlier detection , 1987 .
[52] Stefano Ferilli,et al. Unsupervised Discretization Using Kernel Density Estimation , 2007, IJCAI.
[53] P. Rousseeuw. Multivariate estimation with high breakdown point , 1985 .