Tuesday 23rd of April 2024
 

Towards Maximum Spanning Tree Model in Web 3.0 Design and Development for Students using Discriminant Analysis


S.Padma and Ananthi Seshasaayee

Web 3.0 is an evolving extension of the web 2.0 scenario. The perceptions regarding web 3.0 is different from person to person . Web 3.0 Architecture supports ubiquitous connectivity, network computing, open identity, intelligent web, distributed databases and intelligent applications . Some of the technologies which lead to the design and development of web 3.0 applications are Artificial intelligence, Automated reasoning, Cognitive architecture, Semantic web. An attempt is made to capture the requirements of Students inline with web 3.0 so as to bridge the gap between the design and development of web 3.0 applications and requirements among Students. Maximum Spanning Tree modeling of the requirements facilitate the identification of key areas and key attributes in the design and development of software products for Students in Web 3.0 using Discriminant analysis.

Keywords: Web 3.0, Discriminant analysis , Design and Development ,Model, Maximum Spanning Tree

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ABOUT THE AUTHORS

S.Padma
S.Padma , is a research scholar in Bharathiar university ,Coimbatore. She has published 2 international journals . Her area of interest is web mining.

Ananthi Seshasaayee
Dr. Ananthi Seshasaayee received her Ph.D in Computer Science from Madras University. At present she is working as Associate professor and Head, Department of computer science, Quaid-e-Millath Government College for Women, chennai. She has published 16 international journals. Her area of interest involve the fields of Computer Applications and Educational technology.


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