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Stochastic modeling of usage patterns in a web-based information system

Hui-Min Chen, Michael D. Cooper
2002 Journal of the American Society for Information Science and Technology  
This article uses continuous-time stochastic models, mainly based on semi-Markov chains, to derive user state transition patterns (both in rates and in probabilities) in a Web-based information system.  ...  Second, by using a three-layer hierarchical taxonomy of the system Web pages, user sessions in each usage group were transformed into a sequence of states.  ...  Conclusion In this article, a continuous-time stochastic process (a semi-Markov chain) was applied to modeling user statetransition behavior in a Web-based information system.  ... 
doi:10.1002/asi.10076 fatcat:i3eruixlenasxnjqlacpu5ii7u

Effective page recommendation algorithms based on distributed learning automata and weighted association rules

R. Forsati, M.R. Meybodi
2010 Expert systems with applications  
In our first algorithm, we use distributed learning automata to learn the behavior of previous users' and recommend pages to the current user based on learned patterns.  ...  One of the challenging problems in recommendation systems is dealing with unvisited or newly added pages.  ...  A new distributed learning automata based algorithm for solving stochastic shortest path problem. In Proceedings of the sixth international joint conference on information science, Durham, .  ... 
doi:10.1016/j.eswa.2009.06.010 fatcat:tb5nztdbkze2zbchrowatxdupm

An Intelligent Optimal Genetic Model to Investigate the User Usage Behaviour on World Wide Web

Maheswara Rao V.V.R, Valli Kumari V
2013 International Journal of Data Mining & Knowledge Management Process  
tool based on the concept of natural genetic systems.  ...  The unexpected wide spread use of WWW and dynamically increasing nature of the web creates new challenges in the web mining since the data in the web inherently unlabelled, incomplete, non linear, and  ...  "Optimizing classification ensembles via a based educational system", In Proceedings of Joint International Structural Pattern based fitness functions for genetic the American Society for Information Science  ... 
doi:10.5121/ijdkp.2013.3203 fatcat:k35zlrb44retxk2bhnpsxzveie

An Enhancement of Svm Based Semantically Enriched Variable Length Confidence Pruned Markov Chain Model Based Web Page Recommendation System

2020 International journal of recent technology and engineering  
Semantic Variable Length Markov Chain Length Model (SVLMC) is a web page recommendation system which combined the fields of semantic web and web usage mining by the Markov transition probability matrix  ...  schemes that can be implemented recursively in a more complicated scenario of Markov model and it is included in the training data of SVM.  ...  In the pattern generation process, semantic information plays an important role in the web usage mining techniques.  ... 
doi:10.35940/ijrte.e6927.018520 fatcat:mmcwqn2ncnfsvgxt2qk3nt6s5e

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  
This paper presents a new web usage mining process for finding sequential patterns in web usage data which can be used for predicting the possible next move in browsing sessions for web personalization  ...  The tremendous growth in volume of web usage data results in the boost of web mining research with focus on discovering potentially useful knowledge from web usage data.  ...  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

Modeling a Realistic Workload for Performance Testing

Christof Lutteroth, Gerald Weber
2008 2008 12th International IEEE Enterprise Distributed Object Computing Conference  
Load testing of web applications can be specified by simulating realistic user behavior with stochastic form-oriented analysis models.  ...  The stochastic form-oriented load testing approach can be generalized to deal with other submit-response systems such as those consisting of web services.  ...  In order to model a web application as a queuing system, a service pattern for the web application would have to be specified.  ... 
doi:10.1109/edoc.2008.40 dblp:conf/edoc/LutterothW08 fatcat:6uvgba5dajaofb4qxhlf2xk5ja

Reliability Prediction and Sensitivity Analysis of Web Services Composition [chapter]

Duhang Zhong, Zhichang Qi, Xishan Xu
2008 Petri Net, Theory and Applications  
In this paper, we propose the usage of CSPN model, an extension of stochastic Petri nets as a solution to the problems of predicting the reliability of web service composition.  ...  To represent the service-usage profile of web services composition, we propose the Composite Service Process Net model(CSPN) based on the Stochastic Petri Net.  ...  Although many other models of concurrent and distributed systems have been de-veloped since the introduction in 1964 Petri nets are still an essential model for concurrent systems with respect to both  ... 
doi:10.5772/5329 fatcat:h5od4ka5ind7xkrad6k5vxxqcq

Application and Significance of Web Usage Mining in the 21st Century: A Literature Review

M. Aldekhail
2016 Journal of clean energy technologies  
Identifying the usage patterns of users is very important in utilizing the vast information available in the World Wide Web.  ...  The paper explains in detail the process of web usage mining and the different techniques used for pattern discovery.  ...  Web usage mining is the area of data mining that deals with the discovery and analysis of usage patterns from web logs in order to improve web-based applications.  ... 
doi:10.7763/ijcte.2016.v8.1017 fatcat:n4i5qnaqznc5dptvolkzr6zsle

MODELING WEB NAVIGATION USING GRAMMATICAL INFERENCE

Georgios Korfiatis, Georgios Paliouras
2008 Applied Artificial Intelligence  
User modeling is done through data mining of Web usage logs, resulting in aggregate, rather than personal models.  ...  In this paper, a method that models user navigation on the Web, as opposed to a single Web site, is presented, aiming to assist the user by recommending pages.  ...  Most of the stochastic sequential pattern discovery methods make use of Markov models to predict the next link the user will choose. In (Bestavros 1995) Markov models are applied to Web usage data.  ... 
doi:10.1080/08839510701853267 fatcat:hcfpar4j3baq5hpzrnbblix7dq

Patterns of query reformulation during Web searching

Bernard J. Jansen, Danielle L. Booth, Amanda Spink
2009 Journal of the American Society for Information Science and Technology  
This article reports results from a study in which we automatically classified the query-reformulation patterns for 964,780 Web searching sessions, composed of 1,523,072 queries, to predict the next query  ...  Query reformulation is a key user behavior during Web search. Our research goal is to develop predictive models of query reformulation during Web searching.  ...  The Air Force Office of Scientific Research (AFOSR) and the National Science Foundation (NSF) funded portions of this research.  ... 
doi:10.1002/asi.21071 fatcat:zk36bmlhxve6jkkms57qjdx5sy

ANALYSIS OF MARKOV MODEL AND ITS APPLICATION IN WEB PAGE ANTICIPATION

Shivangi Sorout
2017 International Journal of Advanced Research in Computer Science  
In digital era of information where accessing information in limited time frame is necessary, then Markov model helps in the anticipation of the web page.  ...  Markov Model and its clustering mechanisms helps us to make clusters of similar web users having based on same specified constraints and after the application of the Anticipation framework necessary web  ...  Markov model is used in the web page anticipation where it is used as stochastic model for the function of modeling those systems which are changing according to the user needs.  ... 
doi:10.26483/ijarcs.v8i9.5196 fatcat:smczjwsmmvfxzmh67vduumu6y4

Modeling and Analysis the Web Structure Using Stochastic Timed Petri Nets

Po-Zung Chen, Chu-Hao Sun, Shih-Yang Yang
2008 Journal of Software  
STPN ( Stochastic Timed Petri Nets ) is a high-level graphical model widely used in modeling system activities with concurrency.  ...  Precise analysis of the Web structure can facilitate data pre-processing and enhance the accuracy of the mining results in the procedure of Web usage mining.  ...  STPN ( Stochastic Timed Petri Nets) is a highlevel graphical model widely used in modeling system activities with concurrency.  ... 
doi:10.4304/jsw.3.8.19-26 fatcat:oiyufm3zxvajfh576ofz6mnkki

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Dimitrios Pierrakos, Georgios Paliouras, Christos Papatheodorou, Constantine D. Spyropoulos
2012 User modeling and user-adapted interaction  
This paper is a survey of recent work in the ¢eld of web usage mining for the bene¢t of research on the personalization of Web-based information services.  ...  In this context, the area of Web usage mining is a valuable source of ideas and methods for the implementation of personalization functionality.  ...  Figure 2 illustrates how Web usage mining can be integrated in a personalized Web-based information system, following this approach.  ... 
doi:10.1023/a:1026238916441 fatcat:p5hezimqczg4tos4vajivz23ea

Navigation Pattern Discovery Using Grammatical Inference [chapter]

Nikolaos Karampatziakis, Georgios Paliouras, Dimitrios Pierrakos, Panagiotis Stamatopoulos
2004 Lecture Notes in Computer Science  
We present a method for modeling user navigation on a web site using grammatical inference of stochastic regular grammars.  ...  The evaluation of our method was based on two web usage data sets from two very dissimilar web sites.  ...  Acknowledgments We would like to thank the members of the team "Information Retrieval in Chemistry" of NCSR "Demokritos" (E. Varveri, A. Varveris and P. Telonis) for providing the chemistry data.  ... 
doi:10.1007/978-3-540-30195-0_17 fatcat:zzvrxodzg5f5dgpl3bffkpg7f4

Extraction of Web Usage Profiles using Simulated Annealing Based Biclustering Approach [article]

R. Rathipriya, K. Thangavel
2014 arXiv   pre-print
Extracted biclusters are consists of correlated users whose usage behaviors are similar across the subset of web pages of a web site where as these users are uncorrelated for remaining pages of a web site  ...  In this paper, the Simulated Annealing (SA) based biclustering approach is proposed in which SA is used as an optimization tool for biclustering of web usage data to identify the optimal user profile from  ...  SA based biclustering approach is proposed to extract the optimal usage profile/ usage model, which plays a vital role in the recommendation systems.  ... 
arXiv:1412.8099v1 fatcat:casnbtmdizcuhnrt6fpzr6lpke
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