Identification of atypical (rare) elements - a conditional, distribution-free approach

[1]  A. Dawid Conditional Independence in Statistical Theory , 1979 .

[2]  Piotr Kulczycki,et al.  An algorithm for reducing the dimension and size of a sample for data exploration procedures , 2014, Int. J. Appl. Math. Comput. Sci..

[3]  Peter Blau,et al.  Friction Science and Technology: From Concepts to Applications, Second Edition , 2008 .

[4]  Piotr Kulczycki,et al.  Kernel Estimators in Industrial Applications , 2008, Soft Computing Applications in Industry.

[5]  Charu C. Aggarwal,et al.  Outlier Analysis , 2013, Springer New York.

[6]  Rafael Wisniewski,et al.  Fuzzy controller for a system with uncertain load , 2002, Fuzzy Sets Syst..

[7]  Victoria J. Hodge,et al.  A Survey of Outlier Detection Methodologies , 2004, Artificial Intelligence Review.

[8]  Vic Barnett,et al.  Outliers in Statistical Data , 1980 .

[9]  Piotr A. Kowalski,et al.  Bayes Classification for Nonstationary Patterns , 2015 .

[10]  Qi Li,et al.  Cross-validation and the estimation of probability distributions with categorical data , 2006 .

[11]  Douglas M. Hawkins Identification of Outliers , 1980, Monographs on Applied Probability and Statistics.

[12]  Daniel T. Larose,et al.  Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .

[13]  B. Silverman Density estimation for statistics and data analysis , 1986 .

[14]  Malgorzata Charytanowicz,et al.  A complete gradient clustering algorithm formed with kernel estimators , 2010, Int. J. Appl. Math. Comput. Sci..

[15]  Zhongwen Liang,et al.  Nonparametric estimation of multivariate CDF with categorical and continuous data , 2009 .

[16]  W. Cholewa,et al.  Fault Diagnosis: Models, Artificial Intelligence, Applications , 2004 .

[17]  J. Douglas Faires,et al.  Numerical Analysis , 1981 .

[18]  Piotr Kulczycki,et al.  Fuzzy controller for mechanical systems , 2000, IEEE Trans. Fuzzy Syst..

[19]  Malgorzata Charytanowicz,et al.  Conditional parameter identification with different losses of under- and overestimation , 2013 .