outlier

Mr. McGuire's forecast, which he made in the recently released book, 'Hard Money, ' makes him a very far outlier.

Paulsen said the jobs number was such an outlier that it did not shake investors' new-found confidence in the economic recovery.

Africa is still something of a demographic outlier compared with the rest of the developing world.

In these applications, a value perceived to be an outlier may in fact be an accurate result of a nonuniform product.

Yet the Middle East is an outlier: in spite of a fall in their number, it is now the only region in which autocracies outnumber democracies.

An outlier may result from a deviation from prescribed test methods, or it may be the result of variability in the sample.

The latest rules judge risk largely on the basis of credit scores and data from the worst outlier years of the recent crisis.

Intensive surveys are continuing around the MOST recent detection points and in outlier areas to facilitate containment of this pest.

Britain is still an outlier in terms of its budget deficit, which was a touch below 10% of GDP in the financial year ending in April.

In that regard, the Gulf of Mexico well being drilled by the Deepwater Horizon was an outlier.

Such skews may be normal (as in a range of product prices), may indicate outlier conditions, or may represent issues of validity.

This poll may be an outlier, but others give her a growing lead (see chart).

The cluster id is the id of the "outlier" cluster to which the record belongs.

France, one of the world's strongest economies, continues as an anti-capitalist outlier.

Also, an analyst may like to see what makes a particular customer an "outlier" .

Yet Mr Gove's candour fails him when it comes to another way in which English education is an international outlier.

Furthermore, Japan is no longer such an outlier.

The recognition of massive outlier data is a problem with a large number of operations in data processing.

In contrast, when Mr. Paulson bet against the housing market in 2006, his was an outlier view.

Such a value may qualify as a statistical outlier.

The SOPs should include the specific outlier test to be applied with relevant parameters specified in advance.

The prospect and development direction of the detection of outlier are presented.

Nevertheless, outlier measurement accuracy will be affected negatively since all attributes involved in computation indiscriminate.

All clusters with an outlier degree above this threshold are marked as outlier clusters and all their members as outliers.

In fact, World War II is the worst macroeconomic event of the period, with strong U. S. wartime economic growth as an outlier.

So is Earth just an outlier, a freak cosmic arrangement of planet and moon that makes for a nice, life-enabling climate?

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

Secondly, the outlier pattern of time series can be detected by local outlier detection technique.

This will help to summarize information and still allow for a fast access to relevant outlier data records.

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

The Rock, it turned out, was just an outlier in a systemically unsafe sector.

I was an outlier, a freak; to political insiders, my victory proved nothing.

As the biggest outlier of the bunch, the higher PBoC number was essential to driving up Moody's estimate.

Britain was an outlier. There, trust in the state fell (from 41% to 35%), whereas trust in the private sector inched up, from 45% to 47%.

Wicked King Leopold looks less of an outlier after a while.

Enrich each outlier record by information on why the given record is considered to be an outlier.

Outlier is a company I have always been jealous of, their website, their clothing and their price tag.

How to extract effective discriminative information from overlapping(outlier)samples is still open.

But Japan, having been the first to develop, is an outlier: it should have developed other sources of growth long ago.

An obvious outlier, for example, would seem to be Saudi Arabia, which is now 11th in the league, ahead even of Japan and Germany.

This method also complements the shortages of current clustering algorithms in outlier detection and using.

Outlier mining is a important branch of data mining, and is becoming a growingly useful tool in many applications.

The outlier signal from the MEMS gyro drift could be got rid of effectively by uniting the mean filter and the median filter.

It uses local outlier mining method to count the Local Outlier Factor(LOF) of the outlier candidated object and detects anomaly attacks.

The detection of outlier is very important in chemistry and chemical engineering which emphasizes experimentation and data acquisition.

The existence of outlier always leads to inaccurate, even wrong results in data mining.

A simple query subject that accesses the outlier table BANK. CUSTOMER_OL created in the first section.

Experimental results on real database show that the SOM-based outlier mining is effective.

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

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

We reduce the power of additive noise by adding outlier rejection rule in ICA.

According to these experiments, the proposed outlier detection algorithm for agricultural information can work well.

Data records that deviate from the global distribution of data records are called outliers.

For write operations, the difference between the wordline edges and the data edges is used to locate any non-edge 'outlier' cells.

You may also do your due diligence on the firm you're talking to and find that they're an outlier.

In some ways, of course, it is only natural that Japan should appear an outlier.

Practices used in reporting and interpretation of test results include (1) averaging and (2) outlier tests.

She requested an outlier of the Flying Swallow to him the precious stones, gold-plated showed the suffering of people to share.

But there is a less dramatic alternative: to force these extra losses onto creditors of the outlier banks.

Perhaps, but with atypical candidates on the Democratic side, 2008 may yet be an outlier.

In this paper, the outlier mining method for time series data is investigated.

Thus, there is not a sharp distinction between outlier and non-outlier.

KFC isn't some outlier in the Chinese economy, like high-priced Starbucks that still caters mainly to young, cosmopolitan latte-kippers.

High-dimensional outlier mining is an important branch in the field of data mining.

Results show that the validity of outlier mining algorithm based on swarm intelligence.

He just sees it as a pioneer, not an outlier.

A method of density-based local outlier mining method is proposed.

I didn't panic or give up. Like any good outlier, I simply switched to the full court press.

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

How to apply outlier detection algorithm to vertical search engines is discussed in this paper too.

Based on above analysis, a reactive outlier detection approach over data stream has been introduced.

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

Experimental results show that the approach is scalable and it can efficiently satisfy the demand of real-time outlier analysis.

It can focus instead on fixing loopholes and finding ways to close outlier banks that lose far more money than the average.

Rummaging around the internet, I found that my friend was indeed an outlier.

Yet as far the Muse outlier.

And we certainly shouldn't assume that the past 10 or 20 years is either the long-term trend or the outlier.

Cognos is very well-suited to support the task of interactive outlier analysis.

You want an outlier-flag query item that indicates whether a record is considered an outlier.

For your report, you need two query subjects in the Cognos project that you then join to obtain a textual description for each outlier

one of the difficulties is outlier mining , which is partly solved by the new - arising subject , say , statistic diagnosis

A Peer-group Outlier Detection Definition Model Applied to Suspicious Financial Transaction Surveillance

Outlier Identification and Processing in Spatial Analysis of Water Quality Parameters of a Lake

The Outlier Handling Method and Adjusting or Dominating Technic of The Soil Water-salt Spatial Variability Data

Amelioration of Outlier Detection in Linear Regression and Its Application

Outlier Diagnosis and Calibration Model Optimization for Near Infrared Spectroscopy Analysis

Outlier Data Mining and its Applicationin the Authentication for Materiel Consumption of Blast Furnace

A Principal Curve-Based Outlier Detection Model and Its Application in Stock Market

Research on the identification of outlier analysis'plant maintenance case inconsistency

Influence analysis and outlier tests for semiparametric generalized linear model

Influence analysis and outlier tests for semiparametric generalized linear model

Outlier Detection Technology and Its Applications in E-business

Outlier Sample Eliminating Criterions and Methods for Building Calibration Model of Near Infrared Spectroscopy Analysis

Improper claims for medical education, clinical trials, outlier payments

Research and Application of Outlier Mining in Educational Adminstration

Outlier Detection Algorithms and their Availability to Data Streams Mining

Implementation of Density-based Outlier Detection in High-dimensional Space

A Fast Outlier Detection Algorithm for High Dimensional Categorical Data Streams

The robustness data processing method about eliminating outlier

Fast Outlier-insensitive Algorithm for Image Registration

New approach for outlier detection in high dimensional dataset with mixed attributes

if the outlier is only because of the output series (sales), the model without outliers has a better accuracy than before;

Application of Spatial Outlier Detection in Regional Unbalance

Study and Application of a Novel Method of Outlier Mining

Application and Research on Outlier Detection in Data Preprocessing

Fast Outlier Detection for Milk Near-Infrared Spectroscopy Analysis

A Modified Outlier Detection Method in Dynamic Data Reconciliation

The research of eliminating the outlier in data processing of remote measurement

The Detection Methods of Outlier in Partial Least Squares Regression

Study on Algorithm for Rough Set-Based Outlier Detection in High Dimension Space

Class Outlier Detection Algorithm and Application in IDS Model

Research on extraction of characteristic point of combined surface based on outlier detection algorithm

The Research of Algorithm of Attribute-Based Detection of Outlier Data

Design and Accomplishment of Data Model about Taxpaying Outlier for Association-rule Mining

The Method of Sample Selection Based on Distance and its Application in Outlier Detection

Research of Outlier Mining in Intrusion Detection

To create the outlier table query subject used by the report

Research progress of detection of outlier of chemical data

Research on Spatial Outlier Detection Based on Quantitative Value of Attributive Correlation

Image Denoising Via Outlier Pixel Detection

Research on Outlier Tests for Life Distributions

Study of Ants-Clustering Algorithm Based on Outlier

Study on Algorithms for Local Outlier Detection

New segment method of temporal data for outlier detection

An Enhanced Approach for Mining Local Outlier

Research progress on outlier mining

GDLOF: fast local outlier detection algorithm with grid-based and dense cell

Outlier Improvement of Rolling Missile Navigation System Based on Fuzzy Logic

Outlier Detection Algorithms Based on Density Biased Sampling

Study on outlier mining approaches

A New Algorithm for the Outlier Detection of Time Sequence Data Based on Wavelets

Disk-Based Algorithm for Fast Outlier Detection in Large Datasets

The Research of Outlier Mining Based on Constructed Covering Algorithm

Detecting Outlier Patterns in Time Series Data

New method for outlier removal from observed data based on fuzzy forecasting system

Research on Outlier Testing Method based on Weighted Hypergraph-model

A Outlier Mining Algorithm Based on Principal Component Analysis

Analysis of Time Series Outlier Mining Based on Wavelet Transform

Outlier Mining for Multivariate Time Series Based on Sliding Window

GridOF: An Efficient Outlier Detection Algorithm for Very Large Datasets

A Method of Outlier Detection and Correction Based on First Order Differential

Distinguishability of Outlier Based on Correlative Analysis

Outlier Data Mining Based on Average Similar Coefficient

A Fast Outlier Detection Algorithm for Data Streams Based on Dynamic Grids

An Intrusion Detection Method Based on Outlier Detection

A Data Processing Method Based on Outlier Detection in IT Audit

An Algorithm of Edge Extraction of Color Face Based on Outlier Detection

An Outlier Detection Method in High Dimensional Time Series Based on LLM

An outlier detection model based on time series similarity

A new algorithm of outlier mining in time series data

An Algorithm Based on Partition for Outlier Detection

Outlier Detection Based on Ridge Estimation

Outlier Mining Based on Spatial Constraint

The Study of Processing to Outlier in Measured Data Based on Robust Filtering

Outlier Mining for Time Series Data Based on Outlier Index

The Model of Marketing Outlier Mining Based on Fractal

Algorithm of finding Outlier for reclustering based on distance

Series Outlier Data Mining Based on Forecastment