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OntoWM: An Ontology for Unification and Description of Web Mining

Khaled Benali, Sidi Ahmed Rahal
2014 International Conference on Advanced Aspects of Software Engineering  
In KDD, we need to unify the domain of web mining. To overcome this drawback, several methods have been proposed in the literature.  ...  So, we propose an ontology, named OntoWM which includes definitions of basic Web Mining entities, such as tasks, algorithms... to describe the spots and the basic entities of the web mining in order to  ...  In this work, we present a proposal for a new ontology of Web Mining "OntoWM".  ... 
dblp:conf/icaase/BenaliR14 fatcat:2hg6jyadwzendpko2zjyp6g47m

Introduction to the special topic section on mining Web resources for enhancing information retrieval

Wai Lam, Christopher C. Yang, Filippo Menczer
2007 Journal of the American Society for Information Science and Technology  
Web has been expanding at an enormous pace. There are a variety of Web documents in different genres, such as news, reports, reviews.  ...  It is also common for Web sites to contain information in different languages since many countries adopt more than one language.  ...  It is based on a query representation that integrates several sources of evidence including user selections, content of selected documents, and search engine logs.  ... 
doi:10.1002/asi.20626 fatcat:hnnx7uowarampmyo7kjllnpysy

Web process and workflow path mining using the Multimethod approach

Jorge Cardoso, Mitja Lenic
2006 International Journal of Business Intelligence and Data Mining  
He has published several refereed papers in the areas of workflow management systems, semantic web, and related fields.  ...  WfMS logs contain valuable data that can be used to discover and extract knowledge about the execution of workflows and processes.  ...  In this scenario, a web process can control the flow of a set of web services that make up an application.  ... 
doi:10.1504/ijbidm.2006.009137 fatcat:7vwfxf2aljgg7cn5zx2266elbi

Using Domain Ontology and Sequential Rule Mining for Extracting Behavior Patterns from Web Navigation Logs

C. Ramesh, Department of CSE, CVR College of Engineering Hyderabad, I ndia, K.V. Chalapathi Rao, A. Govardhan, Department of CSE, CVR College of Engineering Hyderabad, I ndia, Department of CSE, School of Information Technology, JNTUH , Hydera bad, India
2014 CVR Journal of Science & Technology  
ERMiner, a state-of-the art algorithm for Sequential rule mining is applied over the Semantic space to generate frequent Sequential rules.  ...  The experimental results of our Web recommendation system show a significant improvement on the quality of the recommendations.  ...  Though user needs may be elicited in many ways, Usage mining of Web logs is a widely used alternative for understanding usage patterns.  ... 
doi:10.32377/cvrjst0702 fatcat:osl3xsw6bfd47eyamfuy7p4oxe

XML-based data mining design and implementation

Chen Qi, Hou Ming
2010 2010 International Conference On Computer Design and Applications  
On this basis, it designs an application system of XML in Web data mining and specifically provides the systemic and functional structure of it, finally, based on the MXL technology to achieve the Web  ...  log mining and improve the main algorithm.  ...  a unified format, which facilitates the result show and the use of other models; also the data mining model can quickly and easily move between different applications and systems, which solves the relatively  ... 
doi:10.1109/iccda.2010.5540744 fatcat:gp5ccfj525e63asdc5madrtfle

Towards an XML-based Framework for Web Usage Mining

Kai Honsel, Bernd Schneider
2006 Multikonferenz Wirtschaftsinformatik  
We present an extensible framework for WUM, which describes a unified WUM process and hence supports the application of any existing WUM method.  ...  The core of our framework is a XML language called Web Usage Mining Markup Language (WUMML) that provides a vocabulary for representing and querying WUM data.  ...  These requirements lead to a Web Usage Mining framework able to combine different data sources and formats for a homogenous access from analysis methods that are as well covered with a unified access layer  ... 
dblp:conf/mkwi/HonselS06 fatcat:zr2xr4pzmnb7lir4rycj5vtsve

Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts

Xiang Ren, Yujing Wang, Xiao Yu, Jun Yan, Zheng Chen, Jiawei Han
2014 Proceedings of the 7th ACM international conference on Web search and data mining - WSDM '14  
utilizing three types of objects -A unified framework for joint intent learning § A heterogeneous graph to encode all information § A graph-based soft-clustering method -Better performance of intent  ...  -Guide users to vertical search engines § Heterogeneous Graph for Intent Learning Link weight denotes object similarity in terms of search intents Encode multiple data sources into a unified graph  ... 
doi:10.1145/2556195.2556222 dblp:conf/wsdm/RenWYYCH14 fatcat:saqlzoyswfdevjavonffz4ax5e


Xuanhui Wang, Jian-Tao Sun, Zheng Chen
2007 Proceedings of the sixteenth ACM conference on Conference on information and knowledge management - CIKM '07  
For example, typical Web search activities involve multiple types of interrelated entities such as end users, Web pages, and search queries.  ...  The experiments on 3 data sets (i.e., a literature data set, a search engine log data set, and a recommendation data set) show the effectiveness and flexibility of our proposed methods.  ...  SHINE Search on Click-Through Logs Search engine logs contain useful information about the interactions between Web users and search engines, and have been studied intensively for various applications.  ... 
doi:10.1145/1321440.1321522 dblp:conf/cikm/WangSC07 fatcat:4vn3uiis5vb53dro2n6fxzg6ta

Alternative Approach to Tree-Structured Web Log Representation and Mining

Fedja Hadzic, Michael Hecker
2011 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology  
The results show the great potential of the method in enabling the application of a wider range of data mining/analysis techniques to tree-structured web log data.  ...  In this paper we evaluate the use of other standard data mining techniques enabled by a recently proposed structure preserving flat data representation for tree-structured data.  ...  It is an XML 1.0 application for describing log reports of web servers.  ... 
doi:10.1109/wi-iat.2011.156 dblp:conf/webi/HadzicH11 fatcat:xny7c6tbhbhdzdgdw4w44yr5te

A Prototype Personalization System for the European Library Portal [chapter]

Marialena Kyriakidi, Lefteris Stamatogiannakis, Mei Li Triantafyllidi, Maria Vayanou, Yannis Ioannidis
2010 Lecture Notes in Computer Science  
The demonstration also features a web-based visualization tool for showing the output of the log analysis performed.  ...  It implements a broad set of data processing, analysis, and mining techniques over the portal's log files, using an environment called madIS.  ...  We are also grateful to our colleagues from the Univ. of Padua, especially Maristella Agosti and Giorgio Maria Di Nunzio for their feedback and valuable discussions during our collaboration within the  ... 
doi:10.1007/978-3-642-15464-5_77 fatcat:hj3nthmpgfhmhj6ualzg7xsl6u

Ontology-style Web usage model for semantic Web applications

Thi Thanh Sang Nguyen, Hai Yan Lu, Jie Lu
2010 2010 10th International Conference on Intelligent Systems Design and Applications  
A case study is presented to show how this model is used in conjunction of the web usage mining and web recommendation. Two real-world datasets are used in the case study.  ...  The output of this model is an ontology-style document which enables the discovered web usage knowledge to be sharable and machine-understandable in semantic Web applications, such as recommender systems  ...  Tich Phuoc Tran (The University of Technology, Sydney, NSW, Australia) for his useful advices on writing this paper.  ... 
doi:10.1109/isda.2010.5687169 dblp:conf/isda/NguyenLL10 fatcat:5fd7uyk7cbdvrjjmfjtsw6qvoe

Model-Driven Web Usage Analysis for the Evaluation of Web Application Quality

Piero Fraternali, Pier Luca Lanzi, Maristella Matera, Andrea Maurino
2004 Journal of Web Engineering  
In particular, the paper illustrates how conceptual logs are generated and exploited in Web usage evaluation and mining, so as to achieve a deeper and systematic quality evaluation of Web applications.  ...  So far, conceptual modeling of Web applications has been used primarily in the upper part of the life cycle, as a driver for system analysis.  ...  Log Synchronizer This module synchronizes the application server log and the WebML runtime log, and generates a unified XML representation of all the available log data.  ... 
dblp:journals/jwe/FraternaliLMM04 fatcat:d6mhtzsqbvgp7h2pyjopgttg5u

Web Server Logs Preprocessing for Web Intrusion Detection

Shaimaa Ezzat Salama, Mohamed I. Marie, Laila M. El-Fangary, Yehia K. Helmy
2011 Computer and Information Science  
We will also discuss the difference between log preprocessing for web intrusion and for web usage mining.  ...  When a customer navigates through an e-commerce site his/her clicks are recorded in web log file. Analyzing these log files using data mining reveal many interesting patterns.  ...  Castellano, A. M. Fanelli, M. A. Torsello,2007) . Many works have been devoted to preprocess data in log file for web usage mining.  ... 
doi:10.5539/cis.v4n4p123 fatcat:m6ymklcecfb3dpfy5jlz6gyogq

Research on User Access Pattern Mining Based on Web Log

Wu Tingting
2020 Asia-pacific Journal of Convergent Research Interchange  
Then build a mining system to mine log data. Bunchner et al. [5] can summarize the relationship between logs and data tables through the migration mode of user interests.  ...  Aiming at the field of e-commerce, this paper analyzes e-commerce user behavior based on the data characteristics of e-commerce back-end logs and constructs a user behavior mining model.  ...  This paper focuses on the research and analysis of the application of web log mining related technologies in user behavior mining in the big data environment, and the recommendation model after log mining  ... 
doi:10.47116/apjcri.2020.08.13 fatcat:fqfycvzm6nhx5mb7kfwaxpc2uq

Building Association-Rule Based Sequential Classifiers for Web-Document Prediction

Qiang Yang, Tianyi Li, Ke Wang
2004 Data mining and knowledge discovery  
In this paper, we provide a comparative study on different kinds of sequential association rules for web document prediction.  ...  From this comparison we propose a best overall method and empirically test the proposed model on real web logs.  ...  Acknowledgment We would like to thank NSERC and IRIS-PRECARN for their generous support for this research. We also thank Henry Zhang and Jia-wei Han for valuable comments.  ... 
doi:10.1023/b:dami.0000023675.04946.f1 fatcat:se45ifjyjvcrxpaaeaisozycfu
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