A Novel Approach for Web Mining Taxonomy for High-Performance Computing

Title

A Novel Approach for Web Mining Taxonomy for High-Performance Computing

Creator

Samanta D.; Dutta S.; Galety M.G.; Pramanik S.

Description

Web mining is a central part of data analysis. The fetching and discovering knowledge from the different web data in data mining mechanism is more important nowadays. Web usage mining customs data mining practice for the investigation of custom decoration from different data storages. In this article paper, introducing a new approach for web mining taxonomy for high-performance computing. The primary motivation of this research is on the data collection in different real-time web servers for implementation and analysis. This article is focussed the WebLog Expert lite 9.3 tools for our study. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Lecture Notes in Networks and Systems, Vol-291, pp. 425-432.

Date

2022-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Document object model; Self-organising map; Web mining; WebLog Expert

Coverage

Samanta D., Department of Computer Science, Christ University, Bangalore, India; Dutta S., Institute of Engineering and Management, Kolkata, India; Galety M.G., College of Engineering and Technology, Catholic University in Erbil, Erbil, Kurdistan Region, Iraq; Pramanik S., Haldia Institute of Technology, Haldia, India

Rights

Restricted Access

Relation

ISSN: 23673370; ISBN: 978-981164283-8

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-16-4284-5_37

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116830871&doi=10.1007%2f978-981-16-4284-5_37&partnerID=40&md5=26457c8059dfcf142df2def1704bc75f