Data Extraction and Alignment from Web Pages by Combing Tag and Value Similarities (Clustering Alignment)

Web data repository contain large data it is may not possible to get the appropriate search result in efficient time, new technique is introduce to extraction of data to solve such problem. Data extraction is retrieving meaningful data from large data sources or data repository technique. Establish new method for extraction of data and alignment from web pages by using combine tag and value similarities in which uses the clustering technique for data extraction and alignment. Advance combine tag and value similarities technique is introduce to perform the data extraction to gives the search result efficient and the more appropriate. Apart from such data extraction technique also introduce to measure the system performance, to know whether the system works properly or not, performance of the system is measure on the basis of generation of cluster. Clustering technique clustering the similar data regions in order to perform efficient identification of web pages and similar Query result pages and result shows in comparison form.