• No results found

Analyzing Users Behavior from Web Access Logs using Automated Log Analyzer Tool

N/A
N/A
Protected

Academic year: 2020

Share "Analyzing Users Behavior from Web Access Logs using Automated Log Analyzer Tool"

Copied!
5
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 1: Comparison between Google Analytics and Web Log Expert Lite
Figure 2: Snapshot of Google Analytics
Table 3: Table showing the number of visitors accessing a web page.

References

Related documents

OBJECTIVE To examine the association of myopia with ultraviolet B radiation (UVB; directly associated with time outdoors and sunlight exposure), serum vitamin D concentrations,

The pitch and timbre of some notes can be ex- tremely troublesome. High A can be very sharp, middle C# extremely flat, and middle D and E can be somewhat sharp. These notes need to

Web usage mining is mining of web logs to discover access patterns of the pages accessed by the user.Analyzing regularities in web log records can help us to identify

Both approaches for clustering Boolean data show similar reading patterns in short and long sessions.. The most frequent clusters are those that group the accesses to Sports

For example- Date- The date on which the activity occurred., Time-The time at which the activity occurred, Client IP addresses-The IP address of the client that made the

Web Usage Mining applies mining techniques in log data to extract the behavior of users which is used in various applications like personalized services, adaptive web sites,

Analysis of this pertinent information will help companies to develop promotions that are more effective, internet accessibility, inter-company communication

Web Server Logs Using Web Usage Mining Web Usage Mining process , W3C log file format Uses unstructured data Worked on. single log file