Main Article Content

Abstract

Data mining is the practice of automatically searching large stores of data to discover patterns and trends that go beyond simple analysis. Data mining is an increasingly important technology for extracting essential information in large collections of data and the understanding approach of social networks belongs to the ads. Followed by data is also transformed into XML as intermediate data format. A case study is used to represent data fusion in action from RDB to XML Data fusion implementation is covered using spam and ant colony optimization algorithms of data transformation from RDB to XML. In Algorithm focus is on the transformation from RDB to XML. In this algorithm, it takes RDB document as input and produces XML document at the end of its execution as output. Such form of data grows into challenging task for the real-time analytics. It is highly valuable to have computational values available locally instead of through distributed resources to reduce real - time analytical challenges.

Article Details

How to Cite
C.Porkodi, L.Sathya, R.M.Soniya, & T.Yagapriya. (2021). Ant colony optimization algorithm used to conversion of RDB to XML. International Journal of Intellectual Advancements and Research in Engineering Computations, 7(1), 1097–1099. Retrieved from https://ijiarec.com/ijiarec/article/view/195