A Effective and Complete Preprocessing for Web Usage Mining
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 3
Abstract
Now, peoples are interested in analyzing log files which can offer valuable insight into web site usage. The log files hows actual usage of web site under all circumstances and don’t need to conduct external experimental labs to get this nformation. This paper describes the effective and complete preprocessing of access stream before actual mining process can be erformed. The log file collected from different sources ndergoes different preprocessing phases to make actionable data source. It will help to automatic discovery of meaningful pattern and elationships from access stream of user.
Authors and Affiliations
Mr. Sanjay Bapu Thakare , Prof. Sangram. Z. Gawali
Trust Worthy Architecture Implementation for Mobile Ad hoc Networks
A mobile ad hoc network is a wireless communication network that does not rely on a fixed infrastructure and is lack of any centralized control. The wireless and distributed nature of mobile ad hoc networks poses greater...
Design and Development of Wireless Sensor Node
This paper presents design and development of intelligent sensor node for environmental monitoring. The node is equipped with multimode sensors for sensing different environmental parameters, the node can sense four diff...
A QOS AWARE QUANTITATIVE WEB SERVICE SELECTION MODEL
Web service is a core technology for sharing information resources and integrating processes in companies or organizations. As the number of applications connected by Web service is increased, the importance of Web servi...
Destination Sequenced – Distance Vector Algorithm
Mobile Ad Hoc Network (MANET) is an infrastructure where nodes communicate without any central administration. Nodes are connected through wireless channels and can use multiple hops to exchange data. Routing protocols a...
A study on detecting and classifying underwater mine like objects using image processing techniques
Detection and classification of underwater mines among natural formations and debris along the sea floor is a tedious task. In order to overcome such scenario an automated computer aided detection and classification syst...