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
Collection
Citation
Samanta D.; Dutta S.; Galety M.G.; Pramanik S., “A Novel Approach for Web Mining Taxonomy for High-Performance Computing,” CHRIST (Deemed To Be University) Institutional Repository, accessed April 25, 2025, https://archives.christuniversity.in/items/show/20457.