A New Approach for Detecting Outliers in Data Streams
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 2, Issue 11
Abstract
In modern years, data streams have become an increasingly important research area, where as data stream refers to continuous flow of data and it is a process of extracting knowledge structure from continuous, rapid data records and it can be considered as a subfield of data mining. Data Stream can be classified into two types they are offline and online streams. Online data stream used in an amount of real world appliances, including network traffic monitoring, intrusion detection, credit card and fraud detection and offline data stream are used in reports based on web log streams. Data size is extremely huge and potentially infinite and it’s not possible to store all the data, so it leads to a mining challenge where shortage of limitations occurs in hardware and software. Data mining techniques are newly proposed for data streams they are highly helpful to mine the data are data stream clustering, data stream classification, frequent pattern technique, sliding window techniques and so on. For outlier detection data stream clustering technique is highly desirable one. The main objective of this research work is to perform the clustering process in data streams and detecting the outliers in data streams. Two types of clustering algorithms namely FUZZY C-MEANS and CLARANS are used for finding the outliers in data streams. The two performance factors such as clustering accuracy and outlier detection accuracy are used for analysis. By analyzing the experimental results, it is observed that the CLARANS clustering algorithm performance is more accurate than the FUZZY CMEANS.
Authors and Affiliations
Dr. S. Vijayarani*
Keywords
Related Articles
- EP ID EP164047
- DOI -
- Views 83
- Downloads 0
The Experimental Study of the Thermal Performance of Heat Pipe using CuO/Water Nanofluid
This paper presents the enhancement of the thermal performance of a heat pipe charged with nanofluid. The CuO/Water nanofluid served as the working fluid with three concentrations by volume 1g/L, 5g/L and 10g/L in heat...
E-Learning by Cloud Computing-Challenges, Benefits and changes: a case study of AlMedina International University
Cloud Computing has now become the next stage of internet’s evolution providing solutions from computing power to computing infrastructure, applications, business processes to education. The “cloud” in cloud comp...
REVIEW PAPER ON PERFORMANCE ENHANCMENT OF DAIRY INDUSTRY BY ENERGY CONSRVATION ANALYSIS
Energy is critical component of dairy industry. Dairy industry depends on fossil fuels for energy supply. It is known fact that our fossil fuel reserves are finite and we should utilize these resources judiciously. Ener...
A Review of Experimental Studies on the Effect of Viscosity grade on Mechanical Vibration Behavior of deep groove Ball Bearing
This paper intends to review and summarize the recent researches of Experimental Studies on the Effect of Viscosity grade on Mechanical Vibration Behavior of deep groove Ball Bearing by using lubricants without ad...
An Elegant Approach for Diagnosis of Parkinson's disease on MRI Brain Images by Means of a Neural Network
Early diagnosis of Parkinson's disease (PD) is of immense importance, since clinical symptoms do not occur until substantial parts of the substantia nigra(SN) neurons in the brain stem have been irreparably damage...