Challenges concerning web data mining
Wolfgang Gaul · 2007
For many WEB mining tasks very large sets of EB data have to be analyzed. We give an overview concerning interesting WEB mining applications, sketch selected data analysis techniques that are appropriate for WEB data mining, and describe some new algorithms that allow to derive new solutions for WEB mining problems. Additional challenges concern the provision of results of WEB mining tasks, e.g., delivery and personalization. We will conclude with some hints for further research in WEB data mining. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.