Enhancing the Efficiency of Web Data Mining using Cloud Computing

Data Mining is the process of discovering actionable information from raw data, which helps to enhance the capability of existing business process. Due to the unrestricted use of Internet by individuals ubiquitously, limitless data has to be stored and maintained on servers. World Wide Web is a group of massive amount of information resources, interconnected files on Internet. Mining the valuable information from this huge source is the main area of concern. In cloud computing web mining techniques and applications are major areas to focus on. Another name for cloud Computing is a distributed computing over the Network. Cloud computing doesn't require to deploy the application on local computer as it directly delivered the hosted services over the internet. The objective of the paper is to study the Map-Reduce programming model and the Hadoop development platform of cloud computing and to ensure efficiency of Web mining using these parallel mining algorithms.