Novel Pattern Classification Techniques for Web Mining
Surbhi Sharma1, Anjaly Chauhan2, Pankaj Sharma3
1Surbhi Sharma, Assistant Professor, ABES Engineering College Ghaziabad, Uttar Pradesh.
2Anjaly Chauhan, Assistant Professor, ABES Engineering College Ghaziabad, Uttar Pradesh.
3Pankaj Sharma, Professor, ABES Engineering College Ghaziabad, Uttar Pradesh.
Manuscript received on 04 May 2019 | Revised Manuscript received on 09 May 2019 | Manuscript Published on 13 May 2019 | PP: 143-145 | Volume-8 Issue-7S May 2019 | Retrieval Number: G10290587S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The web mining is one of the application of data mining which uses data mining techniques such as classification, clustering, association rules in order to effectively mine and extract meaningful patterns from web data. In this paper concept of web mining is discussed, process, classification, issues and applications.
Keywords: In this Paper Concept of Web Mining is Discussed, Process, Classification, Issues and Applications.
Scope of the Article: Classification