Stats4Grads: Analysis of Web Data > structure: E-Commerce prospect
26 November 2008 14:15 in CM105
With information overload on the Web, it is highly desirable to analyze the data to extract relevant information and knowledge. This persuades us to contemplate developing methodologies by which the hidden pattern of web behaviour visits become apparent through huge number of web data. We will illustrate the use of log-files, as a source of information in the web, and address some issues regarding data pre-processing and preparation. We will discuss the motivations and interests propounded by the local web management company we received the data from. Explanatory data analysis on the data will familiarize us with different features of the data. Finally we discuss the weakness of basic statistical analysis to handle such a data.
Contact thomai.tsiftsi(@)durham.ac.uk for more information
See the Stats4Grads page for more details about this series.