An Efficient Integrated Approach for Information Retrieval Using Fuzzy Artificial Bee Colony Optimization Based On Cloud Computing

Elicitation of hidden knowledgeable information from voluminous data is the most prompting technique in data mining (DM). This is proved by DM algorithms for knowledge discovery. Data mining incorporated with Cloud computing technology helps to achieve maximize profit and minimum cost with different possible ways through shared Cloud resource. This paper examines the development framework for information retrieval using DM techniques in Cloud computing environment. Here, the proposed work involves the four different approaches like Boosted K-NN, SVM, Fuzzy based ant colony optimization and Fuzzy artificial bee colony optimization for handling the cloud computing dataset. The main aim of this work is to deploy these approaches in Google Cloud using Google App Engine with Cloud SQL. The performance results show better outcomes compared to real world applications and also reduce the computing time, cost and infrastructure, to produce the results with mean time.