DOI : https://doi.org/10.18517/ijaseit.7.4.2803

A Survey on Web Mining Techniques and Applications

Tawfiq A. Al-asadi (1), Ahmed J. Obaid (2), Rahmat Hidayat (3), Azizul Azhar Ramli (4)
(1) Professor, Department of Computer Science, College of Information Technology, Babylon University, Babel, Iraq
(2) (lecturer, PhD student) Dept. of Computer Science, College of Education, Kufa University, Najaf, IRAQ
(3) Department of Information Technology, Politeknik Negeri Padang, Indonesia
(4) Faculty of Computer Science and Information Technology, University Tun Hussein Onn Malaysia, Malaysia
Fulltext View | Download
How to cite (IJASEIT) :
Al-asadi, Tawfiq A., et al. “A Survey on Web Mining Techniques and Applications”. International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 4, Aug. 2017, pp. 1178-84, doi:10.18517/ijaseit.7.4.2803.
Citation Format :
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.

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
    2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).