A Stacking-based Ensemble Learning Method for Outlier Detection

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Unified Subspace Outlier Ensemble Framework for Outlier Detection

$EVWUDFW 7KH WDVN RI RXWOLHU GHWHFWLRQ LV WR ILQG VPDOO JURXSV RI GDWD REMHFWV WKDW DUH H[FHSWLRQDO ZKHQ FRPSDUHG ZLWK UHVW ODUJH DPRXQW RI GDWD 'HWHFWLRQ RI VXFK RXWOLHUV LV LPSRUWDQW IRU PDQ\ DSSOLFDWLRQV VXFK DV IUDXG GHWHFWLRQ DQG FXVWRPHU PLJUDWLRQ 0RVW VXFK DSSOLFDWLRQV DUH KLJK GLPHQVLRQDO GRPDLQV LQ ZKLFK WKH GDWD PD\ FRQWDLQ KXQGUHGV RI GLPHQVLRQV +RZHYHU WKH RXWOLHU GHWHFWLRQ SUREOHP ...

متن کامل

A Hybrid Machine Learning Method for Intrusion Detection

Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...

متن کامل

A Multivariate Outlier Detection Method

A method for the detection of multivariate outliers is proposed which accounts for the data structure and sample size. The cut-off value for identifying outliers is defined by a measure of deviation of the empirical distribution function of the robust Mahalanobis distance from the theoretical distribution function. The method is easy to implement and fast to compute.

متن کامل

Distance Based Method for Outlier Detection of Body Sensor Networks

We propose a distance based method for the outlier detection of body sensor networks. Firstly, we use a Kernel Density Estimation (KDE) to calculate the probability of the distance to k nearest neighbors for diagnosed data. If the probability is less than a threshold, and the distance of this data to its left and right neighbors is greater than a pre-defined value, the diagnosed data is decided...

متن کامل

Outlier Detection Using Extreme Learning Machines Based on Quantum Fuzzy C-Means

One of the most important concerns of a data miner is always to have accurate and error-free data. Data that does not contain human errors and whose records are full and contain correct data. In this paper, a new learning model based on an extreme learning machine neural network is proposed for outlier detection. The function of neural networks depends on various parameters such as the structur...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Balkan Journal of Electrical and Computer Engineering

سال: 2020

ISSN: 2147-284X

DOI: 10.17694/bajece.679662