Downloads provided by UsageCounts
arXiv: 1101.5668
Log files contain information about User Name, IP Address, Time Stamp, Access Request, number of Bytes Transferred, Result Status, URL that Referred and User Agent. The log files are maintained by the web servers. By analysing these log files gives a neat idea about the user. This paper gives a detailed discussion about these log files, their formats, their creation, access procedures, their uses, various algorithms used and the additional parameters that can be used in the log files which in turn gives way to an effective mining. It also provides the idea of creating an extended log file and learning the user behaviour.
12 pages,6 figures,CCSIT 2011
Web usage mining, Network Security, FOS: Computer and information sciences, Computer Science - Databases, Web Log file, Databases (cs.DB), Log data, Log Level directive, Web servers
Web usage mining, Network Security, FOS: Computer and information sciences, Computer Science - Databases, Web Log file, Databases (cs.DB), Log data, Log Level directive, Web servers
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 26 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 5 | |
| downloads | 9 |

Views provided by UsageCounts
Downloads provided by UsageCounts