Enhanced data processing using positive negative association mining on AJAX data
Mudra Doshi, Bidisha Roy · 2014
Knowledge discovery is the process of analyzing data from different perspectives and summarizing it into useful information. Association rule mining is a data mining process used widely in traditional databases to find the positive association rules. Association rules are created by analyzing data for frequent patterns and by using the criteria support and confidence to identify the most important relationships. However, there are some other challenging rule mining topics like negative association rule mining. In this research, a rule mining approach has been proposed that provides efficient and secure solution using positive and negative association rule computation on Asynchronous JavaScript and XML (AJAX) data. By using AJAX, we get the search result in the form of semantic data. Whenever data search from database is intended, the next possible word of the search will be made available.