Enhanced Outlier Detection Method using Association Rule Mining Technique

Enhanced Outlier Detection Method using Association Rule Mining Technique

In recent years, much attention has been given to the problem of outlier detection, where the aim is to identify data which behave in an unexpected way or have abnormal properties. This paper focuses on the development of non-parametric association based algorithm to effectively identify classes and outliers simultaneously. The proposed algorithm identifies outlier transaction by enhancing an a...

Outlier Detection using Graph Mining

Inter-stock Trend Prediction of Stock Market using Outlier Mining and Association Rule Mining

With the advancement of storage techniques and Digitization of work in every field, the amount of stored data is tremendously increasing. Influence in Information Technology has caused a sizeable change in every sector of the digitized world. One of such sectors is the stock market where data changes constantly. The economy of the country is indicative of the stock market; this sector needs mor...

Privacy Preserving Association Rule Mining Using Perturbation Technique

The information age has enabled organizations to gather large volumes of data. However, the usefulness of this data is negligible if “meaningful information” cannot be extracted from it. Data mining answers this need. The problem of privacy-preserving data mining has become important recently because of the increasing ability to store personal data and the sophistication of data mining algorith...

A Technique for Improving Web Mining using Enhanced Genetic Algorithm

World Wide Web is growing at a very fast pace and makes a lot of information available to the public. Search engines used conventional methods to retrieve information on the Web; however, the search results of these engines are still able to be refined and their accuracy is not high enough. One of the methods for web mining is evolutionary algorithms which search according to the user interests...