EXEMPLIFYING THE WAYS TO IMPROVE INFORMATION EXTRACTION TECHNIQUES IN WEB MINING

Web mining is the method of extracting facts and intelligence from Web records. Computers promised to be a source of knowledge and insight, but only sent us vast volumes of data. In Web mining, data is obtained from the server, device, proxy server, or database. There are three types of web mining methods: web material mining, web framework mining, and web use mining. Ecommerce data mining, text mining, and consumer behaviour monitoring are only a few of the practical fields. The aim of web mining research is to improve information extraction techniques that can be used in data processing. Association or association laws, sequential trends, and clustering criteria are the three primary methods for data mining on the internet. The primary goal of site mining is to gather knowledge on user navigation habits. Web mining is, of course, fraught with difficulties and limitations. Many researchers are currently working on solutions to this issue in the area of online mining