Information Outliers and Their Detection

[1]  Anna Wilbik,et al.  Tracking of multiple target types with a single neural extended Kalman filter , 2010 .

[2]  Vladik Kreinovich,et al.  Outlier Detection under Interval Uncertainty: Algorithmic Solvability and Computational Complexity , 2005, Reliab. Comput..

[3]  Haiping Xu,et al.  Model checking bidding behaviors in internet concurrent auctions , 2007, Comput. Syst. Sci. Eng..

[4]  Peter J. Rousseeuw,et al.  Robust regression and outlier detection , 1987 .

[5]  Sergio Baselga.  Exhaustive search procedure for multiple outlier detection , 2011 .

[6]  Adam Niewiadomski,et al.  A Type-2 Fuzzy Approach to Linguistic Summarization of Data , 2008, IEEE Transactions on Fuzzy Systems.

[7]  Janusz Kacprzyk,et al.  A Fuzzy Logic Based Approach to Linguistic Summaries of Databases , 2000 .

[8]  Slawomir Zadrozny,et al.  Computing With Words Is an Implementable Paradigm: Fuzzy Queries, Linguistic Data Summaries, and Natural-Language Generation , 2010, IEEE Transactions on Fuzzy Systems.

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

[10]  Janusz Kacprzyk,et al.  LINGUISTIC SUMMARIES OF DATA USING FUZZY LOGIC , 2001 .

[11]  Ke Zhang,et al.  A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data , 2009, PAKDD.

[12]  Rajeev Rastogi,et al.  Efficient algorithms for mining outliers from large data sets , 2000, SIGMOD 2000.

[13]  Hans-Peter Kriegel,et al.  LoOP: local outlier probabilities , 2009, CIKM.

[14]  Hans-Peter Kriegel,et al.  A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.

[15]  Srinivasan Parthasarathy,et al.  Distance-based outlier detection , 2010, Proc. VLDB Endow..

[16]  Zengyou He,et al.  Discovering cluster-based local outliers , 2003, Pattern Recognit. Lett..

[17]  Hans-Peter Kriegel,et al.  LOF: identifying density-based local outliers , 2000, SIGMOD 2000.

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

[19]  Jan Kalina,et al.  Outlier detection by means of robust regression estimators for use in engineering science , 2009 .

[20]  Ronald R. Yager,et al.  A new approach to the summarization of data , 1982, Inf. Sci..

[21]  Raymond T. Ng,et al.  Distance-based outliers: algorithms and applications , 2000, The VLDB Journal.

[22]  D. Montgomery,et al.  A comparative analysis of multiple outlier detection procedures in the linear regression model , 2001 .

[23]  Anthony K. H. Tung,et al.  Mining top-n local outliers in large databases , 2001, KDD '01.