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Using clustering techniques to detect usage patterns in a Web-based information system

Hui-Min Chen, Michael D. Cooper
2001 Journal of the American Society for Information Science and Technology  
Different users of a Web-based information system will have different goals and different ways of performing their work.  ...  This article explores the possibility that we can automatically detect usage patterns without demographic information about the individuals.  ...  authors also analyzed user transition behavior using continuous-time stochastic models; these results will be reported in a later article.  ... 
doi:10.1002/asi.1159 fatcat:ulxojceitrdure4anr5zhkhy34

The application of web usage mining in E-commerce security

Reyhaneh Tamimi, Mohammad Ebrahim Mohammadpourzarandi
2013 7th International Conference on e-Commerce in Developing Countries:with focus on e-Security  
In this paper we use web mining techniques for security purposes, in detecting, preventing and predicting cyber attacks on virtual space.  ...  This information overhead leads to difficulty in finding relevant and useful knowledge, therefore web mining is used as a tool to discover and extract the knowledge from the web.  ...  Web usage mining can be a significant technique to Fraud Detection and finding unusual accesses to secure data and transactions in any electronic interaction. 5.  ... 
doi:10.1109/ecdc.2013.6556719 fatcat:c5tqamvelbadjpnlagd5oqmnay

Mutual Information Pre-processing Based Broken-stick Linear Regression Technique for Web User Behaviour Pattern Mining

Gokulapriya Raman, CHRIST (Deemed to be University), Ganesh Raj, CHRIST (Deemed to be University)
2021 International Journal of Intelligent Engineering and Systems  
Web usage behaviour mining is a substantial research problem to be resolved as it identifies different user's behaviour pattern by analysing web log files.  ...  Then, Mutual Information based Pre-processing (MI-P) method is applied to compute mutual dependence between the two web patterns.  ...  Acknowledgments Authors wishes to acknowledge the technical and infrastructural help rendered by the faculty members from Department of CSE CHRIST (Deemed to be University), Bangalore, India.  ... 
doi:10.22266/ijies2021.0228.24 fatcat:zl7ikga6z5g6nifzwhhy2ubwra

Bisecting K-Means for Clustering Web Log data

Ruchika Patil, Amreen Khan
2015 International Journal of Computer Applications  
Web usage mining is the area of web mining which deals with extraction of useful knowledge from web log information produced by web servers.  ...  The clustering framework is further used as an approach for intrusion detection from the log files. The system is trained first by labeling the classes and then tested to check for any intrusions.  ...  mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications [1] [2] .  ... 
doi:10.5120/20448-2799 fatcat:7jfabmvjh5b7bejrggk5obfucy

Web Usage Mining for Discovery and Evaluation of Online Navigation Pattern Prediction

Pradnya Mehta, Shailaja B. Jadhav, R. B. Joshi
2014 International Journal of Computer Applications  
There are number of techniques that can be used to mine hidden information and the discovery of pattern is done by density based clustering approach.  ...  A technique to assess the effectiveness of a Web site and its information access tools is through the mining of web log files [11] .  ... 
doi:10.5120/15870-4815 fatcat:bjbsa2yqt5fhnam45zi7v6et3e

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  
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  ...  Recently, web browsing techniques have been widely used for personalization.  ...  ACKNOWLEDGMENT The authors would like to give their special thanks to Dr Ali Hruonabadi and Dr. Vahe Aghazarian for their contributions on this work.  ... 
doi:10.5120/16840-6694 fatcat:ebxrabjheja65dbdeqgpxelibm

Qualitative Evolution of Performance and Validity Indices for Web Usage Mining

Narendra Kumar Kachhwaha, Bhupendra K Malviya
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Web Usage Mining relates mining techniques in log data to extract the performance of users which is used in different applications like Support to the Design, E-commerce, Modified services, prefetching  ...  Web usage mining has three phases as pre-processing, pattern detection and pattern learning.  ...  Web site personalization is based on usage information. Web server logs can be used to cluster web users having related interests. This system contains two modules called offline and online [29] .  ... 
doi:10.23956/ijarcsse/sv7i5/0198 fatcat:d654x5uchbenbft2bp5szckbva

A Guesstimate on Web Usage Mining Algorithms and Techniques

Prabha .K, Suganya .T
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications.  ...  Unfortunately, most of the current Web-based learning systems are still delivering the same educational resources in the same way to learners with different profiles.  ...  Sequential Patterns In web usage mining, sequential pattern is used to discover the sessions that are found in a sequence.  ... 
doi:10.23956/ijarcsse/v7i6/0284 fatcat:2zntqhjoovf7xdrqmbffjuibte

A Survey on Ontology based Web Usage Mining

Vandana M. Patil, J. B. Patil
2016 International Journal of Database Theory and Application  
And for Web site owners, it is very difficult to satisfy their users' information needs effectively. Web Usage Mining has been used to deal with aforesaid issues.  ...  The Web Usage Mining techniques are solely based on knowledge acquired through the analysis of the users' navigational behavior. Hence, quality of discovered patterns is low.  ...  Yilmaz et al have presented an approach for recommendation system using ontology based WUM and object clustering.  ... 
doi:10.14257/ijdta.2016.9.12.18 fatcat:ucvb4c464fcd5jkz2bijigdhvi

Business Intelligence: A Rapidly Growing Option through Web Mining [article]

Priyanka Rahi (Department of Computer Science H.P. University, Shimla, H.P., India)
2012 arXiv   pre-print
The World Wide Web is a popular and interactive medium to distribute information in this scenario. The web is huge, diverse, ever changing, widely disseminated global information service center.  ...  Web usage mining techniques are attempted to reason about different materialized issues of Business Intelligence which include marketing expertise as domain knowledge and are specifically designed for  ...  ACKNOWLEDGEMENTS My appreciation also goes to my fellow students and friends in the department, for sharing their knowledge and for many constructive discussions and for their friendship and continuous  ... 
arXiv:1208.5875v1 fatcat:6kmjryhdyfg5pinod4nvfgn3cy

Business Intelligence: A Rapidly Growing Option through Web Mining

Priyanka Rahi
2012 IOSR Journal of Computer Engineering  
The World Wide Web is a popular and interactive medium to distribute information in this scenario. The web is huge, diverse, ever changing, widely disseminated global information service center.  ...  Web usage mining techniques are attempted to reason about different materialized issues of Business Intelligence which include marketing expertise as domain knowledge and are specifically designed for  ...  I also owe the deepest gratitude to my parents for their deep love. As a daughter, I am really profoundly indebted to them. I hope I will make them proud of my achievements, as I am proud of them.  ... 
doi:10.9790/0661-0612229 fatcat:ot6sfu4nufbkxb6l2jsafk3pwm

A Survey: Techniques of an Efficient Search Annotation based on Web Content Mining

Sobana. E, Muthusankar.D Muthusankar.D
2014 International Journal of Computer Applications  
Nowadays, various web content mining techniques are developed to mine the information and serve people in a simple way: These techniques focuses on the discovery/retrieval of the useful information from  ...  This paper focus on how to extract the information effectively based on classification and clustering, and detecting phishing websites.  ...  Web Usage Mining Web Usage Mining is the application of data mining techniques which is used to discover interesting usage patterns from Web data.  ... 
doi:10.5120/18181-9072 fatcat:6vppuxoy3zb35do7mawyeabvni

An Efficient Web Recommender System for Web Logs

B. M., Haseena Begum
2016 International Journal of Computer Applications  
In this paper, we propose an efficient web recommender system, which uses the concept of preprocessing, clustering technique and expectation maximization naïve bayes as predictive model.  ...  A huge amount of the data is added daily and huge amount of information is accessed from the web.  ...  The web users browse the data using different browsers. In this web based field, providing the needed information for the web users have become an important issue.  ... 
doi:10.5120/ijca2016911795 fatcat:6pg3czitijfs3b5map3bqpbj4e

Web mining and Web usage mining techniques

Nasrin Jokar, Ali Reza Honarvar, Shima Aghamirzadeh, Khadijeh Esfandiari
2016 Bulletin de la Société royale des sciences de Liège  
, sequential patterns, and clustering requirements.  ...  Web mining research focuses on developing knowledge extraction techniques which are used for data analysis. 3 main methods that are used for data mining in web include: association or association rules  ...  -Web usage mining Web usage mining is the application of data mining techniques to discover patterns using the Web to better understand and meet the needs of the user.  ... 
doi:10.25518/0037-9565.5371 fatcat:bwhswbisl5be5mwdu6rroictdu

COMPARISON OF WEB - MINING TECHNIQUES - A SURVEY PAPER

Surender Singh, Rajinder Singh
2020 Zenodo  
Mining is a technique of extracting actionable information from the big pile of data. This paper surveys and compares the various web mining techniques which is an emerging field of data mining.  ...  Web Mining cab be used to categorization and clustering techniques to construct comprehensive customer profiles.  ...  Data Mining Technique [14] Fang-Yie Leu and Kai-Wei Hu This paper introduced Intrusion Detection and Identfication System (IDIS), which builds a profile for each user in an intranet to keep  ... 
doi:10.5281/zenodo.3608621 fatcat:43gdjhwxpjbrtiruiv6sst5n6i
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