(1) Excluding the few outliers, we can calculate the square root of the average squared error over all subjects for each repetition.

(2) Gladwell has some interesting theories on what outlier.

(3) Britain, as ever, is an outlier.

(4) Such a value may qualify a statistical outlier.

(5) Among Europe's historically Catholic lands, France is an outlier.

(6) In this paper , a research on the outlier mining method for time series data is undertaken.

(7) The outlier details page contains the customer records that are flagged as outliers, which belong to the profession selected in the main report page.

(8) Outlier testing is a statistical procedure for identifying from an array those data that are extreme.

(9) An kernel clustering intrusion detection approach based on outlier detection is presented in this paper.

(10) The method can be used to filtrate the outlier data and discover clusters of arbitrary shape.

(11) Incremental mining algorithms based on local outlier factor demand multiple scans of the data set.

(12) A method of outlier detection in re-gression is proposed making use of the character of structure risk function and KT condition in support vector regression in this paper.

(13) Britain's crowded media market is an international outlier, both for its rowdiness and its professionalism.

(14) The possible use of outlier tests should be determined in advance.

(15) Wavelet analysis has unique features in outlier detection, denoising and etc.

(16) Rather than an outlier, they could be the edge of change for the hedge - fund world.

(17) This paper presents an outlier pattern detection algorithm of time series based on K-Mean Distance Outlier Factor (K-MDOF).

(18) The population of its large parish, which included several rural outliers, stood at about 2,700.

(19) Primary research results show that such data mining methods as clustering, classification, association, time-series analysis and outlier analysis are feasible in the FDD of LRE.

(20) The Fisher - type statistic is very effective for testing outlier in exponential sample.

(21) Data Ming techniques can be used to association analysis, classification, clustering, forecasting and outlier mining, etc.

(22) If a cluster contains, for instance, mostly very young people with high average balance, then this is probably a good explanation of why this cluster was identified as an outlier.

(23) At that point, I stopped my survey. Four and you're out. Put kindly, I'm an outlier.

(24) This result supports the authors viewpoint about kurtosis statistical meanings:kurtosis is a kind of measure of population datas degree of outlier.

(25) The sample breakdown point of a test is defined as the smallest proportion of arbitrary outlier in the sample that reverse the test decision.

(26) The results show that the robust principal component estimation can not only overcome the ill condition of the normal equation. but also resist the outlier effects to the model parameters.

(27) Even obdurate India has begun to look less of an outlier.

(28) In this paper , the framework of network intrusion detection technology Based unsupervised outlier detection is discussed.

(29) Efficient mining algorithm of maximum forward path and efficient mining algorithm of frequent traversal path are integrated in the mining period; Outlier analysis is introduced into the mining system.

(30) The sample breakdown point of a test is defined as the smallest proportion of arbitrary outlier in the sample that reverses the test decision.

(31) The outlier pattern can be efficiently detected from time series by this algorithm.

(32) Data stream; Outlier detection; Heterogeneous attributes; Closed frequent itemsets; Sliding window.

(33) Thailand's 12, 000-ton Chari Naruebet is an outlier: too small for more than a handful of aircraft, but nevertheless capable of carrying the country's ancient, vertical-landing Harrier jets.

(34) The Madoff case was exceptional and should remain an outlier.

(35) Aiming at the preprocessing problem for classification rule, this paper proposes outlier attribute detection classification algorithm.

(36) A method of outlier detection in regression is proposed making use of the character of structure risk function and KKT condition in support vector regression.

(37) In this article we will apply clustering and outlier detection method on data of tax.

(38) We study the incremental data mining technology based outlier factor.