A Novel Approach for clustering web user sessions using RST
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 1
Abstract
Web usage mining has assumed importance in learning about web user's behavior and user interactions with the website. It uses data mining techniques to discover non-trivial user behavior patterns. These patterns can then be used to make the predictions of next page to be accessed by the user. Web usage mining consists of the steps like web log preprocessing, pattern discovery and pattern analysis. This paper proposes a novel approach for preprocessing wherein rough set clustering is applied to form the clusters of sessions. These sessions could later on be used to form the knowledge base of rules on the basis of which the next page to be accessed could be prefetched.
Authors and Affiliations
Ms. Jyoti , Dr. A. K. Sharma , Dr. Amit Goel
Keywords
Related Articles
- EP ID EP118736
- DOI -
- Views 121
- Downloads 0
OBJECT-ORIENTED DATABASE REPRESENTATION THORUGH UML
Due to the lack of database representation through a ell-known object oriented modeling language i.e. Unified Modeling Language (UML), the present work is an attempt to represent the database through UML. In the paper, a...
Design And Implementation of Reconfigurable Rijndael Encryption Algorithms For Reconfigurable Mobile Terminals
In any wireless communication security is crucial during data transmission. The encryption and decryption of data is the ajor role in the wireless communication for security of the data. ncryption algorithms are used t...
Improved CBIR using Multileveled Block Truncation Coding
The paper presents improved content based image retrieval (CBIR) techniques based on multilevel Block truncation coding using multiple threshold values. Block truncation Coding based features is one of the CBIR methods...
Estimation of worst case latency of periodic tasks in a real time distributed environment
Real-time computations require exact bounded response times. For relatively simple models of computation, it is possible to determine conditions under which it is theoretically possible to guarantee that an invocation of...
The efficiency of algorithms DATA MINING "Close + and Extraction of association rules" for indexation 2D/3D and Selection of characteristic views.
This paper presents a new classification and search method of 3D object features views. This method is an application of algorithms: Close+ for an object views classification purpose Algorithm for extracting asso...