A Survey on Hash based A-priori Algorithm for Web Log Analysis | Zendy

Santosh Shakya | Zendy; Anju Singh | Zendy; Divakar Singh | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Survey on Hash based A-priori Algorithm for Web Log Analysis

Author(s) -

Santosh Shakya,

Anju Singh,

Divakar Singh

Publication year - 2013

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/13311-0892

Subject(s) - computer science , hash function , a priori and a posteriori , algorithm , information retrieval , data mining , programming language , philosophy , epistemology

This paper attempts to signify the importance of newest variation of data mining in form of web mining. The paper also discusses about some of the existing web log analysis algorithms. The previous some web mining algorithm working with different concepts gives effective result for the web mining. Presently the user want to execs the web pages or other web related applications very fast and very easily. Then arises a strong need for performing web log analysis for increases the performance the web log mining. However there exist many systems for performing the web log analysis, the results they generate are far from the expectations. In this paper present a new hash based Apriori algorithm which work very fast on the web server and give the effective result in comparison to previous algorithms.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research