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APD-A Tool for Identifying Behavioural Patterns Automatically from Clickstream Data [chapter]

I-Hsien Ting, Lillian Clark, Chris Kimble, Daniel Kudenko, Peter Wright
2007 Lecture Notes in Computer Science  
Clickstream can be a rich source of data for analysing user behaviour, but the volume of these logs makes it difficult to identify and categorise behavioural patterns.  ...  In this paper, we introduce the Automatic Pattern Discovery (APD) method, a technique for automated processing of Clickstream data to identify a user's browsing patterns.  ...  Analysis of Clickstream data can aid our understanding of user browsing behaviour by providing detailed information on the patterns generated by users as they navigate through a website hosted on that  ... 
doi:10.1007/978-3-540-74827-4_9 fatcat:hnqxtheedfdszmwdhtmqy34ane

Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation [article]

Patrick Gildersleve, Taha Yasseri
2017 arXiv   pre-print
We study aggregated clickstream data for articles on the English Wikipedia in the form of a weighted, directed navigational network.  ...  The study of navigational behaviour on Wikipedia, due to the site's popularity and breadth of content, can reveal more general information seeking patterns that may be applied beyond Wikipedia and the  ...  Past work that covers more general patterns of navigation on WWW has tried to identify how people use the web (both within and between websites and individual pages), as compared to its design and structure  ... 
arXiv:1710.03326v2 fatcat:wjlmnkkmizam5cyd6m4d6yffwq

Accessing e-Learners' Knowledge for Personalization in e-Learning Environment

Pao-Hua Chou, Menq-Jiun Wu
2009 Journal of research and practice in information technology  
illustrating a novel sequence mining approach to identify pre-designated e-Learner navigation patterns automatically and integrating a back-propagation network (BPN) model smoothly; and (3) applying the  ...  This paper illustrates a novel web usage mining approach, based on the sequence mining technique applied to e-Learner's navigation behaviour, to discover patterns in the navigation of e-Learning websites  ...  We also gratefully thank the editor and anonymous reviewers for their valuable comments and constructive suggestions.  ... 
dblp:journals/acj/ChouW09 fatcat:fds4ua6a3zhktdheh7mw44pttm

Integrating web mining and neural network for personalized e-commerce automatic service

Pao-Hua Chou, Pi-Hsiang Li, Kuang-Ku Chen, Menq-Jiun Wu
2010 Expert systems with applications  
a novel sequence mining approach to identify pre-designated user navigation patterns automatically and integrates back-propagation network (BPN) model smoothly; and (3) applying the empirical research  ...  This paper illustrates a novel web usage mining approach, based on the sequence mining technique applied to user's navigation behaviour, to discover patterns in the navigation of websites.  ...  The data used to test the research model was obtained mainly from one international EC website in UK.  ... 
doi:10.1016/j.eswa.2009.09.047 fatcat:xweo4it4kvcmtmsfuhll7nxise

Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models [chapter]

Alexander Ypma, Tom Heskes
2003 Lecture Notes in Computer Science  
Moreover, we show that the use of static 'satellite data' may enhance the labeling of shorter navigation patterns.  ...  We train a mixture of HMMs on artificial navigation patterns, and show that the correct model is being learned.  ...  We thank KPN Research (current name: TNO Telecom) and KPN.com for supplying the web logs from the kpn.com web site.  ... 
doi:10.1007/978-3-540-39663-5_3 fatcat:omiyl2senjeydjhxp5j2s5dhyi

Website optimization with web metrics

Birgit Weischedel, Eelko K. R. E. Huizingh
2006 Proceedings of the 8th international conference on Electronic commerce The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet - ICEC '06  
Managers highly regard web metrics and are eager to learn how to increase the use of this underutilized data source on online customer behaviour.  ...  We have found that the various data sources fulfil different purposes: clickstream data enable managers to answer 'when' and 'what' questions, customer surveys 'why' and 'how' questions, and external data  ...  Special gratitude is due to the web metrics analyst for his exceptional and ongoing support of this research. 468  ... 
doi:10.1145/1151454.1151525 dblp:conf/ACMicec/WeischedelH06 fatcat:okbe63apnjhwfdltebaacufxry

An Overview of Web Data Clustering Practices [chapter]

Athena Vakali, Jaroslav Pokorný, Theodore Dalamagas
2004 Lecture Notes in Computer Science  
Clustering is a challenging topic in the area of Web data management.  ...  This paper presents an overview of the most popular methodologies and implementations in terms of clustering either Web users or Web sources and presents a survey about current status and future trends  ...  Therefore, the main benefits include: increasing Web information accessibility, understanding users' navigation behaviour, improving information retrieval and content delivery on the Web.  ... 
doi:10.1007/978-3-540-30192-9_59 fatcat:cil7pgmogfdcbehyihgsihqx4a

Intelligent Support for Information Retrieval of Web Documents

Robert Koval, Pavol Návrat
2002 Computing and informatics  
We have shown that clustering is a feasible technique for extraction of interests from web documents. We consider the proposed architecture to be quite promising and suitable for future extensions.  ...  We have created a module for completely transparent tracking of the user's movement on the web, which logs both visited URLs and contents of web pages.  ...  Acknowledgements The paper is a revised and expanded version of a paper presented at the ADBIS 2002 Conference [12] . The work was partially supported by Slovak Science Grant Agency, grant No.  ... 
dblp:journals/cai/KovalN02 fatcat:cqb2j4aqufbs3neb56xroedrfm

Intelligent Support for Information Retrieval in the WWW Environment [chapter]

Robert Koval, Pavol Návrat
2002 Lecture Notes in Computer Science  
We have shown that clustering is a feasible technique for extraction of interests from web documents. We consider the proposed architecture to be quite promising and suitable for future extensions.  ...  We have created a module for completely transparent tracking of the user's movement on the web, which logs both visited URLs and contents of web pages.  ...  Chen, Park and Yu have proposed some promising algorithms for mining for interesting patterns in clickstream data [Chen et al, 96] .  ... 
doi:10.1007/3-540-45710-0_5 fatcat:ozbx7v6u7zadhhnpbcfkam7fsy

Enhancing Web Usability using User Behavior and Cognitive Study

Neha Mahyavanshi, Megharani Patil, Veena Kulkarni
2017 International Journal of Computer Applications  
For improving functional convenience the actual usage patterns are extracted from web server logs for an ecommerce website.  ...  These logs are firstly preprocessed to detect users, user sessions and user transactions and then an usage mining method is applied to determine actual usage paths through the clickstreams.  ...  METHODOLOGY A new method is proposed to identify the navigation related usability problems from the actual usage patterns extracted from the server logs and cognitive study targeting user's perspective  ... 
doi:10.5120/ijca2017913594 fatcat:7uhfckjwm5e77eaisn33pspw4m

M-Commerce vs. E-Commerce: Exploring Web Session Browsing Behavior

Orit Raphaeli, Lior Fink, Sigal Berman, Anat Goldstein
2014 European Conference on Information Systems  
In this study, we investigate browsing behavior patterns based on the analysis of clickstream data that is recorded in server-side log files.  ...  The analysis is expected to reveal typical m-commerce and e-commerce browsing behavior, in terms of session timing and intensity of use and in terms of session navigation patterns.  ...  In order to identify the navigation behavior of a session, we follow the approach presented in Ting et al., (2007) , which extracts underlying footstep-graph elements from clickstream data.  ... 
dblp:conf/ecis/RaphaeliFBG14 fatcat:3ued7tjxobad7e2slr5gnkmjza

A primer for the use of internet marketing research tools: The value of usability studies

Moutusi Maity, Cara Lee Okleshen Peters
2005 Interactive Marketing  
Website strategy has evolved from a simple web presence to ensuring consumer purchases.  ...  More recently developed methods found within the marketing literature that rectify the shortcomings in online marketing research are identified, and usability studies are singled out as an effective tool  ...  Clickstream data represent the path a visitor takes when navigating a website.  ... 
doi:10.1057/palgrave.im.4340290 fatcat:53rmyalk5benxfevzjrekr4wvy

Data Web house to support Web intelligence in e-learning environments

M. Zorrilla, S. Millan, E. Menasalvas
2005 2005 IEEE International Conference on Granular Computing  
This paper presents the design of a data e-learning web-house as supporting structure for future e-learning personalized systems.  ...  summary information or primitive patterns.  ...  Variables from the second group, Navigation characteristics, must be derivated from the clickstream fact table too.  ... 
doi:10.1109/grc.2005.1547386 dblp:conf/grc/ZorrillaMR05 fatcat:zeeinmj5rrabdfppsah442yxe4

A Literature Framework Analysis of Online Hotel Accommodation Process Factors [chapter]

Manus Ward, Mathew Shafaghi
2013 Information and Communication Technologies in Tourism 2014  
The objective of this research is to propose a statistically based framework based on clickstream/log file analytics of both the internal and external influencers of the process.  ...  The internal process influencers (the individual themselves, search engines, third parties/social media sites and hotel websites) and the external process influencers (online access devices and user visual  ...  Click stream data has major advantages to identify user behaviour in analysing the online hotel accommodation process.  ... 
doi:10.1007/978-3-319-03973-2_35 dblp:conf/enter/WardS14 fatcat:oaz3rwdnsvbx7pky5o2ofktkhm

Taxonomical Classification of Web Usage Mining Applications and its Ontological Representation

Satyaveer Singh, Mahendra Singh Aswal
2018 Asian Journal of Computer Science and Technology  
Web usage mining is used to find out fascinating consumer navigation patterns which can be applied to a lot of real-world problems, such as enriching websites or pages, generating newly topic or product  ...  recommendations and consumer behavior studies, etc.  ...  INTRODUCTION Web usage mining is the appliance of data mining techniques to explore interesting usage patterns from web data which recognizes and better delivers the requests of web-based applications  ... 
doi:10.51983/ajcst-2018.7.3.1902 fatcat:cchl3c7ny5cujfqztevpf7ouxu
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