Εξόρυξη δεδομένων σε δεδομένα διαδικτυακής κίνησης και ροής χτυπημάτων
KeywordsΕξόρυξη χρήσης παγκόσμιου ιστού ; Εξόρυξη παγκόσμιου ιστού ; Αρχεία καταγραφής εξυπηρετητή ; Συσταδοποίηση ; Κατηγοριοποίηση ; Web usage mining ; Web mining ; Data mining ; Clustering ; Classification
The world wide web and the Internet in which it is based have brought the third revolution of the twentieth century in the way people communicate. Hour by hour it becomes the most popular means of human communication. An important piece of human knowledge has been already installed in the web. We have passed from data to “big data”. There is a lot of data in the web just waiting to be statistically analyzed and mined. A computer science field that deals with processing web data using data mining techniques is called “web mining”. Our purpose in this thesis is to apply “web usage mining” to web data coming from web server log files. The target was an insurance company in which we had to infer results about its visitors. We also use SPSS, applying clustering techniques for data mining for the visitors. This information is useful, in order to organize the advertising strategy plan in suitable periods.