Preference utility mining of web navigation patterns

Through the world wide web development, web mining becomes an important research topic in database technologies. Web usage mining is to discover useful information of web pages from user navigation patterns recorded in web logs. Web utility mining is not only discovering the frequent web navigation patterns, but also identifying the profit of web pages. For enhancing the web utility mining, this study proposes a novel preference utility mining algorithm to provide web designers and decision makers more useful and meaningful web information. The proposed algorithm can also be implemented on shared memory multiprocessing (SMP) architecture of parallel computation.