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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 24; H. 3; S. 2139 - 2150
Hauptverfasser:	Gopianand, M., Jaganathan, P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2020 Springer Nature B.V
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!