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A Survey on Web Mining Techniques and Applications

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@article{IJASEIT2803,
   author = {Tawfiq A. Al-asadi and Ahmed J. Obaid and Rahmat Hidayat and Azizul Azhar Ramli},
   title = {A Survey on Web Mining Techniques and Applications},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {4},
   year = {2017},
   pages = {1178--1184},
   keywords = {Web mining; Web Content Mining (WCM); Web Usage Mining (WUM); Web Structure Mining (WSM); data mining; log file.},
   abstract = {

Information on Internet and especially on Web sites increasing rapidly day by day, Web sites play an important role in this manner where a lot of Web users are always upload, download and brows a lot of contents based on their needs. Web server provide a way to browse these contents that scattered in many Web sites that reside in it by assigning an Internet Protocol (IP) address or Domain Name System (DNS) to be accessed around the world. Server log the requests that made by users to access their interesting content then store this information in the form of log file. Log file size can be growth from some kilobytes to several megabytes in few days depending on data traffic and the popularity of Web sites. With the fast growth of the data and information in Web environment made a necessity to use sophisticated techniques that have never used in other domains to extract knowledge and significant Web patterns. Web Mining is an extension of Data Mining that integrated various technology in research fields including Artificial Intelligence (AI), statistics, informatics, knowledge discovery and computational linguistics. The aim of Web Mining is to provide a algorithm or technique to make data accesses more efficient and convenient. Web Mining techniques are categorized into three classes depend on which part to be mined which are: Web Content Mining (WCM), Web Structure Mining (WSM) and Web Usage Mining (WSM), in this paper a survey of Web Mining techniques and application are discussed briefly.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2803},    doi = {10.18517/ijaseit.7.4.2803} }

EndNote

%A Al-asadi, Tawfiq A.
%A Obaid, Ahmed J.
%A Hidayat, Rahmat
%A Ramli, Azizul Azhar
%D 2017
%T A Survey on Web Mining Techniques and Applications
%B 2017
%9 Web mining; Web Content Mining (WCM); Web Usage Mining (WUM); Web Structure Mining (WSM); data mining; log file.
%! A Survey on Web Mining Techniques and Applications
%K Web mining; Web Content Mining (WCM); Web Usage Mining (WUM); Web Structure Mining (WSM); data mining; log file.
%X 

Information on Internet and especially on Web sites increasing rapidly day by day, Web sites play an important role in this manner where a lot of Web users are always upload, download and brows a lot of contents based on their needs. Web server provide a way to browse these contents that scattered in many Web sites that reside in it by assigning an Internet Protocol (IP) address or Domain Name System (DNS) to be accessed around the world. Server log the requests that made by users to access their interesting content then store this information in the form of log file. Log file size can be growth from some kilobytes to several megabytes in few days depending on data traffic and the popularity of Web sites. With the fast growth of the data and information in Web environment made a necessity to use sophisticated techniques that have never used in other domains to extract knowledge and significant Web patterns. Web Mining is an extension of Data Mining that integrated various technology in research fields including Artificial Intelligence (AI), statistics, informatics, knowledge discovery and computational linguistics. The aim of Web Mining is to provide a algorithm or technique to make data accesses more efficient and convenient. Web Mining techniques are categorized into three classes depend on which part to be mined which are: Web Content Mining (WCM), Web Structure Mining (WSM) and Web Usage Mining (WSM), in this paper a survey of Web Mining techniques and application are discussed briefly.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2803 %R doi:10.18517/ijaseit.7.4.2803 %J International Journal on Advanced Science, Engineering and Information Technology %V 7 %N 4 %@ 2088-5334

IEEE

Tawfiq A. Al-asadi,Ahmed J. Obaid,Rahmat Hidayat and Azizul Azhar Ramli,"A Survey on Web Mining Techniques and Applications," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 4, pp. 1178-1184, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.4.2803.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Al-asadi, Tawfiq A.
AU  - Obaid, Ahmed J.
AU  - Hidayat, Rahmat
AU  - Ramli, Azizul Azhar
PY  - 2017
TI  - A Survey on Web Mining Techniques and Applications
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 4
Y2  - 2017
SP  - 1178
EP  - 1184
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Web mining; Web Content Mining (WCM); Web Usage Mining (WUM); Web Structure Mining (WSM); data mining; log file.
N2  - 

Information on Internet and especially on Web sites increasing rapidly day by day, Web sites play an important role in this manner where a lot of Web users are always upload, download and brows a lot of contents based on their needs. Web server provide a way to browse these contents that scattered in many Web sites that reside in it by assigning an Internet Protocol (IP) address or Domain Name System (DNS) to be accessed around the world. Server log the requests that made by users to access their interesting content then store this information in the form of log file. Log file size can be growth from some kilobytes to several megabytes in few days depending on data traffic and the popularity of Web sites. With the fast growth of the data and information in Web environment made a necessity to use sophisticated techniques that have never used in other domains to extract knowledge and significant Web patterns. Web Mining is an extension of Data Mining that integrated various technology in research fields including Artificial Intelligence (AI), statistics, informatics, knowledge discovery and computational linguistics. The aim of Web Mining is to provide a algorithm or technique to make data accesses more efficient and convenient. Web Mining techniques are categorized into three classes depend on which part to be mined which are: Web Content Mining (WCM), Web Structure Mining (WSM) and Web Usage Mining (WSM), in this paper a survey of Web Mining techniques and application are discussed briefly.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2803 DO - 10.18517/ijaseit.7.4.2803

RefWorks

RT Journal Article
ID 2803
A1 Al-asadi, Tawfiq A.
A1 Obaid, Ahmed J.
A1 Hidayat, Rahmat
A1 Ramli, Azizul Azhar
T1 A Survey on Web Mining Techniques and Applications
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 4
YR 2017
SP 1178
OP 1184
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Web mining; Web Content Mining (WCM); Web Usage Mining (WUM); Web Structure Mining (WSM); data mining; log file.
AB 

Information on Internet and especially on Web sites increasing rapidly day by day, Web sites play an important role in this manner where a lot of Web users are always upload, download and brows a lot of contents based on their needs. Web server provide a way to browse these contents that scattered in many Web sites that reside in it by assigning an Internet Protocol (IP) address or Domain Name System (DNS) to be accessed around the world. Server log the requests that made by users to access their interesting content then store this information in the form of log file. Log file size can be growth from some kilobytes to several megabytes in few days depending on data traffic and the popularity of Web sites. With the fast growth of the data and information in Web environment made a necessity to use sophisticated techniques that have never used in other domains to extract knowledge and significant Web patterns. Web Mining is an extension of Data Mining that integrated various technology in research fields including Artificial Intelligence (AI), statistics, informatics, knowledge discovery and computational linguistics. The aim of Web Mining is to provide a algorithm or technique to make data accesses more efficient and convenient. Web Mining techniques are categorized into three classes depend on which part to be mined which are: Web Content Mining (WCM), Web Structure Mining (WSM) and Web Usage Mining (WSM), in this paper a survey of Web Mining techniques and application are discussed briefly.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2803 DO - 10.18517/ijaseit.7.4.2803