An effective quality analysis of XML web data using hybrid clustering and classification approach

An effective quality analysis of XML web data using clustering and classification approach is used in our proposed method. XML is turning into a standard in representation of data, it is attractive to support keyword search in XML database. A keyword search searches for words anyplace in record. It...

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Vydané v:	Soft computing (Berlin, Germany) Ročník 24; číslo 3; s. 2139 - 2150
Hlavní autori:	Gopianand, M., Jaganathan, P.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2020 Springer Nature B.V
Predmet:	Algorithms Artificial Intelligence Classification Classifiers Clustering Computational Intelligence Confidentiality Control Data models Design Engineering Extensible Markup Language Feature extraction Internet service providers Mathematical Logic and Foundations Mechatronics Metadata Methodologies and Application Neural networks Programming languages Quality assessment Robotics Searching Semantic web Semantics Structured Query Language-SQL Wireless networks Whale optimization means clustering XML web Keyword search Neural network RMSE Weighted fuzzy
ISSN:	1432-7643, 1433-7479
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