Web Usage: Exploring Of Users Using Generalized Sequence Pattern A Case on Official Web Site of Addis Ababa Navigational Behavior G University
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Date
2011-06
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Addis Ababa University
Abstract
Web Usage Mining is an aspect of data mining that has received a lot of attention in
recent years. Academic researchers have developed an extensive array of tools that
perform several data mining algorithms on log files coming from web servers in order
to identify user behavior on a particular web site. Performing this kind of
investigation on AAU web site can provide information that can be used to better
accommodate the user’s needs.
The Web Use Mining (WUM) , it corresponds to the process of knowledge discovery
from databases (KDD) applied to the Web usage data. It comprises three main stages:
the preprocessing of raw data, the discovery of schemas and the analysis (or
interpretation) of results. A WUM process extracts behavioral patterns from the Web
usage.
In this thesis, we find out the navigational behavior of the user of official web site of
Addis Ababa University web server recorded in web server for two months
(November and December), those recorded are raw data that are full of junks, noises
and irrelevant data contents .In this paper present a preprocessing tool WUMprep that
uses to filter those unnecessary data, such as irrelevant records, noise data, and it
crates the sessions based on specific thresholds.
For discovery of navigational behavior, here presents the Web Utilization Miner
WUM, a mining system for the discovery of interesting navigation patterns. The
interestingness criteria for navigation patterns are dynamically specified by the
researcher using WUM’s mining language MINT, using those descriptor it can be
describe the general behavior of users instead of single users behavior using the most
appropriate algorithms known (Generalized sequence pattern) which implemented in
WUM.
The General behavior of users constructed by GSP algorithms those behaviors are
descried using the MINT query. Those MINT query are intermediate between the
users and pages.User Navigational Behavior Page 2
Abstract
Web Usage Mining is an aspect of data mining that has received a lot of attention in
recent years. Academic researchers have developed an extensive array of tools that
perform several data mining algorithms on log files coming from web servers in order
to identify user behavior on a particular web site. Performing this kind of
investigation on AAU web site can provide information that can be used to better
accommodate the user’s needs.
The Web Use Mining (WUM) , it corresponds to the process of knowledge discovery
from databases (KDD) applied to the Web usage data. It comprises three main stages:
the preprocessing of raw data, the discovery of schemas and the analysis (or
interpretation) of results. A WUM process extracts behavioral patterns from the Web
usage.
In this thesis, we find out the navigational behavior of the user of official web site of
Addis Ababa University web server recorded in web server for two months
(November and December), those recorded are raw data that are full of junks, noises
and irrelevant data contents .In this paper present a preprocessing tool WUMprep that
uses to filter those unnecessary data, such as irrelevant records, noise data, and it
crates the sessions based on specific thresholds.
For discovery of navigational behavior, here presents the Web Utilization Miner
WUM, a mining system for the discovery of interesting navigation patterns. The
interestingness criteria for navigation patterns are dynamically specified by the
researcher using WUM’s mining language MINT, using those descriptor it can be
describe the general behavior of users instead of single users behavior using the most
appropriate algorithms known (Generalized sequence pattern) which implemented in
WUM.
The General behavior of users constructed by GSP algorithms those behaviors are
descried using the MINT query. Those MINT query are intermediate between the
users and pages.
User Navigational Behavior Page 3
The researcher of this paper also recommend that to get a better result by combining
the web usage mining with content mining techniques of web usage. Of course
without any doubt it could give a better result in terms of efficiency and effectiveness
results.
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Keywords
Web Usage Mining is an aspect of data mining