Paper Info
Title
A neuro-fuzzy classifier for website quality prediction
Abstract
To improve the quality of websites, it is necessary to continually assess and evaluate web metrics and subsequently make improvements. In this research, we have computed nine quantitative web measures for each website using an automated Web Metrics Analyzer tool developed in JAVA programming language. The website quality prediction models are developed utilizing ANFIS-Subtractive clustering and ANFIS-FCM based FIS models, to classify the quality of website as good or bad. The models are validated using 10 cross validation on a collection of web pages of Pixel Awards web metrics collected through the tool. The results are analyzed using Area Under Curve obtained from Receiver Operating Characteristic (ROC) analysis. The results showed that both ANFIS-Subtractive and ANFIS-FCM have acceptable performance in terms of specificity and sensitivity. In addition, ANFIS-Subtractive and ANFIS-FCM clearly induces only two rules, which are much less than 512 rules generated by the normal ANFIS model. Hence ANFIS-Subtractive and ANFIS-FCM are the most comprehensible techniques tested in this work.
Year
DOI
Venue
2013
10.1109/ICACCI.2013.6637361
Advances in Computing, Communications and Informatics
Keywords
Field
DocType
Java,Web sites,fuzzy neural nets,fuzzy reasoning,pattern classification,pattern clustering,ANFIS-FCM based FIS models,ANFIS-subtractive clustering,JAVA programming language,ROC,Website quality prediction models,automated Web metrics analyzer tool,neuro-fuzzy classifier,pixel awards Web metrics,quantitative Web measures,receiver operating characteristic analysis,Machine Learning Techniques,Neuro-Fuzzy,Web Page,Web Page Metrics,Website Quality
Data mining,Receiver operating characteristic,Web page,Computer science,Pixel,Artificial intelligence,Adaptive neuro fuzzy inference system,Predictive modelling,Cluster analysis,Cross-validation,Java,Machine learning
Conference
ISBN
Citations 
PageRank 
978-1-4799-2432-5
2
0.39
References 
Authors
7
2
Name
Order
Citations
PageRank
Ruchika Malhotra153335.12
Anjali Sharma263.87