An Enhanced Detection of Outlier using Independent Component Analysis among Multiple Data Instances via Oversampling
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 2
Abstract
Abstract: Anomaly is a pattern of data that does not conforms to expected behavior. It is also referred as outlier, exceptions, peculiarities, surprise etc. Anomaly detection aims to identify a small group of instances which deviates from the existing data. It needs to solve an unsupervised yet unstable data learning problem.Detecting an anomaly is an essential research topic in data mining to solve the real world applications like intrusion detection, homeland security to identify the deviated data instances. Mostly anomaly detection methods are implemented in batch mode it requires more computation and memory. Existing system online oversampling Principal Component Analysis (osPCA) algorithm to address this problem and for detecting the presence of outliers from a large amount of data via an online updating technique. In PCA normal data with multi clustering structure and data is in an extremely high dimensional space is not supported. It is typically not easy to use linear models such as PCA to estimate the data distribution if there exists multiple data instances. To overcome these problems and support multiple data instances we proposed a system called Independent Component Analysis (ICA) in which it is a technique of array processing and data analysis aiming at recovering unobserved data samples from oversampled dataset and it is also used to reduce the computation and memory requirement for outlier detection.
Authors and Affiliations
R. Krithigarani , R. Karthik
Keywords
Related Articles
- EP ID EP147380
- DOI 10.9790/0661-16283134
- Views 117
- Downloads 0
Driving Supportive System for Warning Traffic Sign Classification
Abstract: Traffic signs should be accurately identified in order to prevent vital road accidents and secure lives. The objective of this paper is to detect the warning traffic signs and recognize the message it is design...
How Are Mainframes Still Better Than Cloud?
Abstract: This article presents a summary of the Mainframes which are breathing new life in business withinthe wake of a new computing commonly termed as Cloud Computing in which colossal clusters of remoteservers...
Automatic Detection of Non-Proliferative Diabetic Retinopathy Using Fundus Images
Abstract: To diagnosis of Diabetic Retinopathy (DR) it is the prime cause of blindness in the working age population of the world. Detection method is proposed to detect dark or red lesions such as microaneurysms a...
Performance Analysis for Audio Streaming in Cloud
Abstract: Audio streaming has been a major application, which has become popular in past few years especially amongst youth both in professional and personal lives. Various organizations to develop and deploythei...
Moving ATM Applications to Smartphones with a Secured PinEntryMethods
Abstract: A personal identification number (pin) is a widely used numeric password. The 4-digit pin numericpassword is being used as authentication in many important applications such as, an ATM. An ATM is a placew...