نتایج جستجو برای: outlier

تعداد نتایج: 6756  

Journal: :Journal of the American Statistical Association 1976

Journal: :Computer Science and Information Systems 2005

Journal: :Turkish Journal of Computer and Mathematics Education (TURCOMAT) 2021

2014
Djoko Budiyanto Setyohadi Azuraliza Abu Bakar Zulaiha Ali Othman

Many studies of outlier detection have been developed based on the cluster-based outlier detection approach, since it does not need any prior knowledge of the dataset. However, the previous studies only regard the outlier factor computation with respect to a single point or a small cluster, which reflects its deviates from a common cluster. Furthermore, all objects within outlier cluster are as...

2010
MOHAMMAD SAID ZAINOL MERIAM ZAHARI KAMARULZAMMAN IBRAHIM AZAMI ZAHARIM

This study is about outlier detection in time series data. The main objective is to derive and to test statistics for detecting additive outlier (AO) and innovative outlier (IO) in GARCH(1,1) processes and subsequently to develop a procedure for testing the presence of outliers using the statistics. A test statistic has been derived for each type of outlier. In the derivation of the statistics,...

Journal: :GV EXECUTIVO 2019

2015
Shivani P. Patel Vinita Shah Jay Vala Dantong Yu Gholamhosein Sheikholeslami Aidong Zhang Juntao Wang Xiaolong Su Janpreet Singh Shruti Aggarwal Karanjit Singh Shuchita Upadhyaya Vijay Kumar Sunil Kumar Ajay Kumar Singh Jatindra Kumar Deka Sukumar Nandi

Outlier is a data point that deviates too much from the rest of dataset. Most of real-world dataset have outlier. Outlier analysis is one of the techniques in data mining whose task is to discover the data which have an exceptional behavior compare to remaining dataset. Outlier detection plays an important role in data mining field. Outlier Detection is useful in many fields like Medical, Netwo...

2012
Emmanuel Müller Fabian Keller Sebastian Blanc Klemens Böhm

Analyzing exceptional objects is an important mining task. It includes the identification of outliers but also the description of outlier properties in contrast to regular objects. However, existing detection approaches miss to provide important descriptions that allow human understanding of outlier reasons. In this work we present OutRules, a framework for outlier descriptions that enable an e...

اکبر بیگلریان, , غلامرضا بابایی, , فیروز امانی, , مریم کشاورز, ,

Background: An outlier is an observation that lies an abnormal distance from other values in a random sample from a population. Outliers sometimes deal with to abnormality in obtained results from collected data and information. known outlier data by researchers, physicians and other persons that work in medical fields and sciences is important and they must control data before getting result a...

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