A Heuristic Approach for Web Log Mining using Bayesian Networks
Journal Title: International Journal of Computational Engineering and Management IJCEM - Year 2012, Vol 15, Issue 5
Abstract
In the era of globalization and World Wide Web, the Web Applications are playing vital role in our daily life. When more users are using a web application more stress will be applying on the servers. So the whole system or web server may get slow down hereby the process may also slow down or even it may crash down. This makes the users to keep waiting for longer period for the response from the web server. A heuristic approach is presented to catalyze this slow down process by applying mining concept for the web log of the web server, which in deed consist of all the transactions carried out by the end user. By applying Bayesian Networks concept we stream the mined data so perfectly that in the future we can route the end users request to the web server based on the Bayesian results. This makes the system to run on long go and sustain in too busy scenario also.
Authors and Affiliations
N. B. Kadu, D. M. Thakore
Keywords
Related Articles
- EP ID EP135321
- DOI -
- Views 83
- Downloads 0
Classifying Five Different Arrhythmias by Analyzing the ECG Signals
An electrocardiogram (ECG) is a bioelectrical signal which records the heart's electrical activity versus time. It is an important diagnostic tool for assessing heart functions. The early detection of arrhythmia is very...
A Research on Perception of Working Women Employees to Work-Life Balance
Today’s workforce encompasses a wide variety of employees with specific needs and resources when it comes to balancing work and life roles. The phrase ‘work-life balance’ has become a bit of a buzz phrase within the work...
Customer’s Purchasing Behavior towards Spykar Jeans – A Study of Indore City
In the Asian subcontinent, maximum share of demand of denim is dominated by most populated countries India and China. Westernization is the key feature of their contemporary civilization and the inclusion of denim in rou...
Comparative analysis of mid-point based and proposed mean based K-Means Clustering Algorithm for Data Mining
In the original k-means algorithm the initial centroids are taken just randomly out of the input data set. But this random selection of initial centroids leads the computation of the algorithm into local optima. Each tim...
Impact of Attributes of Store Format on the Choice Behavior in Organized Retail Sector
Indian Retail is supposed to be a promising industry with almost all the gaint players vying for a share of the coveted pie in India. Most of us experience organized retailing at BigBazaars, pantaloons, Shoppers Stop, We...