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A Survey on Web Usage Mining
English
2014
International Journal of Computer Trends and Technology
English
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Web usage mining is the process to identify the user's behavior in terms of access the Internet. It is the sub part of Web mining. ...
It focuses on the techniques that discover the usage pattern from web log. It uses the data mining techniques like association rule analysis, clustering, classification and machine learning. ...
Lin Feng, Baohua Guan [8] has proposed a new navigation approach known as "Web Usage Mining based on Variable Precision Rough Set Model" for web user browsing a website. ...
doi:10.14445/22312803/ijctt-v17p134
fatcat:nzvbgaymu5aevbnghstmt3smta
An Overview of Web Usage Mining
2012
International Journal of Computer Applications
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This author [8] focused on the first phase of Web Usage Mining called Data Pre-processing and they suggested a novel approach for feature selection based on Rough set Theory for Web Usage Mining. ...
This paper used two algorithms Quick reduct and Variable Precision Rough Set Algorithm to identify the necessary data from the web log files, the actual process of feature selection. ...
doi:10.5120/4879-7314
fatcat:ejbnlxe45zgvdo53eq7zcygsgu
Effective web personalisation based on rough biclustering
2013
International Journal of Granular Computing Rough Sets and Intelligent Systems
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In this paper, we propose a rough biclustering approach for creating user model, based on which user profiles are constructed and the user profiles are matched with the active user session for web page ...
The experimental results show that the proposed rough biclustering algorithm outperforms the other approaches for web page recommender systems. ...
The personalisation systems using web usage mining incorporate data mining techniques to discover interesting patterns in web usage data. ...
doi:10.1504/ijgcrsis.2013.054127
fatcat:lju4gpui3nd4zcp4h7jximpbje
Integrated Cluster-based Rule Induction Mining of Temporal Data for Time-Series Analysis
2016
Indian Journal of Science and Technology
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Improvement: Through experimental evaluation, under various settings, the performance of web usage mining is evaluated in terms of precision of users, error threshold value and number of rules extracted ...
One of the widely researched topics is the web usage mining and effective evaluation of time-series movements and transaction associated with them. ...
The Web Usage Mining is further divided into three categories based on the nature of data. ...
doi:10.17485/ijst/2015/v8i1/94468
fatcat:yhmn5nhmovax3gtmg7ji43suxe
A Novel Approach to Enhance the Performance of Web Log Classification
2019
International Journal for Research in Applied Science and Engineering Technology
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Web Usage Mining involves the technique of extricating knowledge out of weblog data taken by the web user. ...
Ensemble technique is one of the data mining approaches which uses multiple learning algorithms for getting improved predictive outcomes. ...
Web mining is categories in three ways, that is web content mining, web structure mining, and web usage mining. ...
doi:10.22214/ijraset.2019.8075
fatcat:evrnnxeiozbxljye55t3nozj7a
Web Personalization Based on Enhanced Web Access Pattern using Sequential Pattern Mining
2016
International Journal Of Engineering And Computer Science
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Web usage mining is planned to operate on web server logs; logs contain client's behavior towards browsing patternon web which is very useful for the web recommendation. ...
The development of the web has created a big challenge for directing the client to the website pages according to their need. ...
This author [23] focused on the first Web Usage Mining level known as Data Pre-processing and they suggested a new method for feature selection based on the Rough set Theory for Web Usage Mining. ...
doi:10.18535/ijecs/v5i7.08
fatcat:jawp4ndgcfcqlakupicmzwtahe
Electronic Commerce Data Mining using Rough Set and Logistic Regression
2014
Journal of Multimedia
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This paper introduces the knowledge discovery theory of data mining-based on Rough Set Theory (RST) to deal with the vague and inaccurate information about the evaluation of supplier and mine the law knowledge ...
that exists between input variables and adverse position. ...
So far, there is very few related research on Data Mining in E-commerce service quality diagnostic systems. This paper attempts to use rough set theory for Web data mining. ...
doi:10.4304/jmm.9.5.688-693
fatcat:7fp3k57bdbdydn2dxvo65cgcam
Editorial
2011
Intelligent Data Analysis
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The algorithm is based on a variable precision rough set model. Their results show that the propsoed approach provides better performance in selecting the clustering attributes. ...
Deypir and Sadreddini in the next article discuss some of the challenges in mining frequent patterns such as reduction in runtime and memory usage and propose a novel method for efficient mining of frequent ...
doi:10.3233/ida-2011-0477
fatcat:wndqoqtkuzgzdkegy5auetv6tm
A Proficient Web Recommender System using Hybrid Possiblistic Fuzzy Clustering and Bayesian Model Approach
2018
International Journal of Intelligent Engineering and Systems
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The proposed method will determine the gain and loss of the web users based on the web directories which can be modified by using Relevance Feedback Bayesian Network (RFBN) technique. ...
Web Page Recommendation Systems (WPRS) used in various fields to identify the customer needs and to help the users to take appropriate decisions over the service or product according to his/her preference ...
The main aim of the web mining is used to extract knowledge, such as usage logs of websites, hyperlinks between web documents and mine useful knowledge from the web data. [5] . ...
doi:10.22266/ijies2018.1231.19
fatcat:4hz5dlaxsvfojc5s3mywyo7m2u
Fuzzy C-Means Clustering of Web Users for Educational Sites
[chapter]
2003
Lecture Notes in Computer Science
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Researchers have studied the possibility of using fuzzy sets for clustering of web resources. ...
This type of analysis is called web usage mining, which involves applying data mining techniques to discover usage patterns from web data. ...
Acknowledgment The authors would like to thank Natural Sciences and Engineering Research Council of Canada for their financial support. ...
doi:10.1007/3-540-44886-1_50
fatcat:a6qp7oiaubaevhe2gq5zp6jpei
Analysis of Users' Web Navigation Behavior using GRPA with Variable Length Markov Chains
2011
International Journal of Data Mining & Knowledge Management Process
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prediction model for better Web Usage mining Applications. ...
A VLMC is a model extension that allows variable length history to be captured. ...
user navigation behavior prediction model for better Web Usage mining Applications. ...
doi:10.5121/ijdkp.2011.1201
fatcat:umeb62n2kjdmjeqeq5onpy62ma
Mining web content usage patterns of electronic commerce transactions for enhanced customer services
2021
Engineering Reports
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A successful business intelligence solution can help organizations improve the quality and speed of their decision-making processes by analyzing the consolidated information collected from their websites ...
MINING WEB CONTENT USAGE LOG The Web content usage data warehouse simplifies data modeling procedures for data mining algorithms. ...
The stored Web content usage data provides a rich set of source data in XML format for easy data access by data mining algorithms. ...
doi:10.1002/eng2.12411
fatcat:yp57yt6jkvgv7h6oz6vvzxk4fm
Web mining in soft computing framework: relevance, state of the art and future directions
2002
IEEE Transactions on Neural Networks
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The reason for considering web mining, a separate field from data mining, is explained. ...
(GAs), and rough sets (RSs) highlighted. ...
web, usage mining mines secondary data generated by the users' interaction with the web. ...
doi:10.1109/tnn.2002.1031947
pmid:18244512
fatcat:a2ea5nfnczgjlpwsbwe6ebt5hi
Enhancement of Infrequent Purchased Product Recommendation Using Data Mining Techniques
[chapter]
2010
IFIP Advances in Information and Communication Technology
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Opinion mining and rough set association rule mining are applied to extract knowledge from user online reviews. ...
Many of the existing recommender systems are developed for simple and frequently purchased products using a collaborative filtering (CF) approach. ...
"This paper was partially supported by the Smart Services CRC (Cooperative Research Centres, Australia)". ...
doi:10.1007/978-3-642-15286-3_6
fatcat:45ls2m3hprfhfaqxsu2od3iy3e
Parallel Distributed Web Access Patterns Two-Layer Clustering Based On The Fuzzy And Rough
2018
Zenodo
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Web log mining analyzes user's browsing time to gain users' level of interest. ...
The results of different clustering methods are verified by using the Davies-Bouldin index.When the data sets are too large, the algorithm is inefficient. ...
How to mine valuable information in a huge data set is a research hotspot of data mining.Web usage mining analyzes users' interest preferences and behavior patterns by mining information in user access ...
doi:10.5281/zenodo.1346025
fatcat:oq7xc3qh6vgb7i4rypm2w6rutq
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