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Prediction of User Behavior using Web log in Web Usage Mining

Virendra R., Govind V.
2016 International Journal of Computer Applications  
based FCM frequency based on most time spent on web pages and frequent surfing through web sites.  ...  Web page prediction is problem we may try to predict the next web pages that user may go on web site based on the knowledge of previously visited web pages.  ... 
doi:10.5120/ijca2016909228 fatcat:7zjp4xnxxrggji2ix23ixz37i4

The Recommendation System for User Interest on Web

2015 International Journal of Science and Research (IJSR)  
Thus user can obtain the relevant information on web as per user interest.  ...  A web personalization system provides most relevant pages to user according to the user interest domain. The system obtains the knowledge user interest domain by analyzing the user browsing history.  ...  I would like to place on record my deep sense of gratitude to Prof.  ... 
doi:10.21275/v4i11.nov151582 fatcat:i7hfwj7vzfdmfnn6qphtrq3u5a

Emerging Pattern-Based Clustering of Web Users Utilizing a Simple Page-Linked Graph

Xiuming Yu, Meijing Li, Kyung Kim, Jimoon Chung, Keun Ryu
2016 Sustainability  
We cluster web users based on generated emerging patterns, and finally, label the clusters with typical web pages. Our work flow is shown in Figure 1 .  ...  Our proposed approach is capable of clustering web users from web log data. 2 of 18 web users based on frequent-pattern mining of topics in common.  ...  Annotation of Clusters After clustering, we label the clusters based on the concept of Folksonomies.  ... 
doi:10.3390/su8030239 fatcat:ebzpeg33pjbz7h4n2it7fvkqaq

Clustering of Web User Sessions to Maintain Occurrence of Sequence in Navigation Pattern

D.S. Anupama, Sahana D. Gowda
2015 Procedia Computer Science  
Web log data available at server side helps in identifying the most appropriate pages based on the user request.  ...  Each URL in the web log data is parsed into tokens based on the web structure. Tokens are uniquely identified for the classification of URLs.  ...  Hierarchical agglomerative clustering technique clusters the patterns based on the sequence of occurrence of web pages.  ... 
doi:10.1016/j.procs.2015.08.073 fatcat:4ybopmgclvayleffp3kggz64ka

Use of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems

2010 International Journal of Industrial Engineering and Production Research  
Semantic knowledge of web pages are extracted and subsequently incorporated into the navigation patterns of each cluster which obtained from clustering the access sessions to get the Semantic Patterns  ...  The cluster with the most relevant semantic pattern is chosen with the comparison of semantic representation of the active user session with the semantic patterns and the proper web pages are recommended  ...  The hybrid recommendation engine proposed in this paper uses a novel switching technique, based on the mean weight of the web pages in a cluster (weight of the web page in the mean vector of the cluster  ... 
doaj:1762a641850b4c72a7c8f5c2af805360 fatcat:t3fr5u4gxbgd7glbirt3wq22ky

Web Users Clustering Based on Fuzzy C-MEANS

Waleed Ali, Mohammed Alrabighi
2016 VAWKUM Transactions on Computer Sciences  
The proposed intelligent web users clustering based on Fuzzy-c-means can be used for discovering users' interests in Web pages that can contribute in enhancing several approaches such as Web caching, Web  ...  The proposed approach for grouping users is based on Fuzzy c-means technique, which allows web users to be assigned into more than one cluster or interest.  ...  In this paper, Fuzzy-c-means clustering was used to cluster the Web users and discover users' interests based on Web pages.  ... 
doi:10.21015/vtcs.v11i1.434 fatcat:6yv3xnhi75enrojhbvrr4y3w7y

Mining Navigation Patterns Using a Sequence Alignment Method

Birgit Hay, Geert Wets, Koen Vanhoof
2004 Knowledge and Information Systems  
In this article, a new method is illustrated for mining navigation patterns on a web site.  ...  This method partitions navigation patterns according to the order in which web pages are requested and handles the problem of clustering sequences of different lengths.  ...  We discovered that, based on Association, navigation patterns are not clustered with regard to the content of web pages nor with regard to the order of pages.  ... 
doi:10.1007/s10115-003-0109-6 fatcat:646mnswdvrdprktcjxra5ltuha

Mining navigation patterns using a sequence alignment method

Birgit Hay, Geert Wets, Koen Vanhoof
2004 Knowledge and Information Systems  
In this article, a new method is illustrated for mining navigation patterns on a web site.  ...  This method partitions navigation patterns according to the order in which web pages are requested and handles the problem of clustering sequences of different lengths.  ...  We discovered that, based on Association, navigation patterns are not clustered with regard to the content of web pages nor with regard to the order of pages.  ... 
doi:10.1007/bf02637153 fatcat:vwuaraxs4reuvjvdnj7wjlrlo4

Efficient web usage mining process for sequential patterns

Sang T. T. Nguyen
2009 Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services - iiWAS '09  
It is designed based on the integration of the dynamic clustering-based Markov model with the Pre-Order Linked WAP-Tree Mining (PLWAP) algorithm to enhance mining performance.  ...  sequences by using a dynamic clustering-based model.  ...  Helen Lu (The University of Technology, Sydney, NSW, Australia) for their advices on writing this paper.  ... 
doi:10.1145/1806338.1806425 dblp:conf/iiwas/Nguyen09 fatcat:av6f7uqrcna5vnqnegmqiji3tm

Combining Usage, Content, and Structure Data to Improve Web Site Recommendation [chapter]

Jia Li, Osmar R. Zaïane
2004 Lecture Notes in Computer Science  
These models are then fed back into the system to recommend users shortcuts or page resources. We also propose an evaluation mechanism to measure the quality of recommender systems.  ...  Web recommender systems anticipate the needs of web users and provide them with recommendations to personalize their navigation.  ...  To cluster web pages based on their content, we use a modified version of the DC-tree algorithm [WF00] .  ... 
doi:10.1007/978-3-540-30077-9_31 fatcat:wwfwya2tindxtc2qgcizd5zkqm

A Classification Algorithm to Improve the Design of Websites

Hemant Kumar Singh, Brijendra Singh
2012 Journal of Software Engineering and Applications  
Web usages mining (WUM) is the tool designed to do this task. WUM system is used to extract the knowledge based on user behavior during the web navigation.  ...  In this paper we advanced the online recommender system by using a Longest Common Subsequence (LCS) classification algorithm to classify users' navigation pattern.  ...  The first one is clustering the filtered sessionized page views into clusters of similar page views. The second step is learning the profiles based on the preformed clusters.  ... 
doi:10.4236/jsea.2012.57057 fatcat:vrk2xfpyanastp7rb4c6fs5xva

A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis [chapter]

Guandong Xu, Yanchun Zhang, Xiaofang Zhou
2005 Lecture Notes in Computer Science  
Traditional techniques of Web usage mining, such as Web user session or Web page clustering, association rule and frequent navigational path mining can only discover usage pattern explicitly.  ...  In this work, we propose a Web recommendation framework incorporating Web usage mining technique based on Probabilistic Latent Semantic Analysis (PLSA) model.  ...  This method is to generate usage-based session clusters by performing k-means clustering process on usage data explicitly. Then the cluster centroids are derived as the aggregated access patterns.  ... 
doi:10.1007/11581062_2 fatcat:iyefq5wyprbljjgtjk2mb6sfwy

Prediction of users' future requests using neural network

Seyedeh Foroozan Rashidi, Ali Harounabadi, Mashaalah Abasi Dezfouli
2012 Management Science Letters  
Users' profiles are constructed based on Web log server files and one of clustering methods is implemented to users' profiles for assigning navigation patterns.  ...  Finally, using neural network, recommender engine produces a relevant recommendation list of web pages to the active user.  ...  Clustering There are large majority of methods used for pattern discovery from Web data, which are based on clustering methods.  ... 
doi:10.5267/j.msl.2012.06.007 fatcat:6dwt6soxube2pgrbcxmzncgpna

A Recommender System for the Web: Using User Profiles and Machine Learning Methods

Samane Rajabi, Ali Harounabadi, Vahe Aghazarian
2014 International Journal of Computer Applications  
Based on patterns extracted from the same user navigation, recommendations are provided to the user to make it easier to navigate.  ...  In this study, a method is proposed to create a user profile with the web usage mining by clustering and neural networks in order to predict the user's future requests and then generate a list of the pages  ...  Vahe Aghazarian for their contributions on this work.  ... 
doi:10.5120/16840-6694 fatcat:ebxrabjheja65dbdeqgpxelibm

Hilbert Space Clustering based Chronological Backward Search for Effective Web Sequential Pattern Mining

A. P., T. Ravi
2017 International Journal of Computer Applications  
The clustering of frequent web patterns in web log database helps for minimizing the space and time complexity of web sequential pattern mining.  ...  In order to overcome such limitation, Hilbert Space clustering based Chronological Backward Search (HSC-CBS) Technique is proposed.  ...  Hilbert Space based Web Pattern Clustering The HSC-CBS Technique used Hilbert Space Clustering (HSC) algorithm in order to group the similar user interest's web pages in web log database based on the user  ... 
doi:10.5120/ijca2017915609 fatcat:o7cd2jdl45bitbxow26aej5k7e
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