Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention. In our current advanced digital era it is very tedious process to identify an efficient integration of distributed sources in web information with the supported methodology towards enhanced time and space complexities. The existing web data based models are not effective in terms of distributed information processing, lack of optimal techniques due to the complexity in handling different web data resources, checking the effective integration output is also not feasible in the existing web data handling system. This paper presents a survey on Data Integration in Distributed Web Information System using Machine Learning Techniques.