Developing A Customized Web Mining System with PHP Language: A Case of Kaohsiung Land Administration Website Data

Abstract

With the growth of WWW, the unstructured data of web is full of useable information. But these available data are not easy to collect, access, and handle of large scale. Each company, it crawls the available data of site-specific Official or e-Commerce websites and storage huge number of data to progress the analysis of big data. But, here is a difficult question that needs to construct a data mining platform on Web server for companies. In this paper, we use PHP Language to develop a customized web mining system, taking a case of Kaohsiung Land Administration Website Data, defining a novel framework of web mining system, which can reduce cost of constructed platform and enhance efficient of Web crawler.