A Survey: Access Patterns Mining Techniques and ACO
Abhishek Mathur1, Trapti Agrawal2
1Prof,Abhishek Mathur, Asstt. Prof, SATI, Vidisha, (M.P), India.
2Trapti Agrawal, Research Scholar, SATI Vidisha, (M.P), India.
Manuscript received on May 12, 2013. | Revised Manuscript received on June 13, 2013. | Manuscript published on June 30, 2013. | PP: 200-206 | Volume-2, Issue-5, June 2013. | Retrieval Number: E1665062513/2013©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper we define Web Mining as Data Mining on the web. Further we define Web Usage Mining along with its applications and tools. Overall the focus of the paper will be to present a survey of the recent developments of the past and current work in Web Usage Mining and looks at Ant Colony optimization algorithm as a clustering technique for web usage patterns. In addition, there is an attempt to provide an overview of the state of the art on ACO in WUM.
Keywords: Data Mining, Web Mining, Web Usage Mining, Site Customization, Ant Colony Optimization, Server Logs Data, Clustering.