GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Silk from a sow's ear: extracting usable structures from the Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Inferring Web communities from link topology
Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems: links, objects, time and space---structure in hypermedia systems
ParaSite: mining structural information on the Web
Selected papers from the sixth international conference on World Wide Web
Learning to extract symbolic knowledge from the World Wide Web
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
ACM SIGKDD Explorations Newsletter
What Makes Patterns Interesting in Knowledge Discovery Systems
IEEE Transactions on Knowledge and Data Engineering
Integrating E-Commerce and Data Mining: Architecture and Challenges
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Learning Probabilistic Relational Models
SARA '02 Proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation
Building Light-Weight Wrappers for Legacy Web Data-Sources Using W4F
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Wrapper Generation for Web Accessible Data Sources
COOPIS '98 Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Data mining for path traversal patterns in a web environment
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Web usage mining: discovery and application of interesting patterns from web data
Web usage mining: discovery and application of interesting patterns from web data
Interactive web usage mining with the navigation visualizer
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Mining interesting knowledge from weblogs: a survey
Data & Knowledge Engineering
Structure-driven crawler generation by example
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
The bipartite clique: a topological paradigm for WWWeb user search customization
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Information categorization in web pages and sites
Web Intelligence and Agent Systems
Revealing the hidden rationality of user browsing behaviour
Proceedings of the eighteenth conference on Hypertext and hypermedia
World Wide Web
Performance tuning and cost discovery of mobile web-based applications
International Journal of Web Engineering and Technology
Semantic mining and web service discovery techniques for media resources management
International Journal of Metadata, Semantics and Ontologies
Combining Web Usage Mining and XML Mining in a Real Case Study
From Web to Social Web: Discovering and Deploying User and Content Profiles
Modeling parametric web arc weight measurement
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
Personalized web recommendation based on path clustering
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Model-driven web usage analysis for the evaluation of web application quality
Journal of Web Engineering
An integrated technique for web site usage semantic analysis: the organ system
Journal of Web Engineering
Discovering user information goals with semantic website media modeling
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Ontology-based filtering mechanisms for web usage patterns retrieval
EC-Web'05 Proceedings of the 6th international conference on E-Commerce and Web Technologies
Higher education web information system usage analysis with a data webhouse
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
Improving semantic consistency of web sites by quantifying user intent
ICWE'05 Proceedings of the 5th international conference on Web Engineering
Personalized web recommendation based on path clustering
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Ontology-Based rummaging mechanisms for the interpretation of web usage patterns
EWMF'05/KDO'05 Proceedings of the 2005 joint international conference on Semantics, Web and Mining
Web sites as agents' environments: general framework and applications
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
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The discipline of Web Usage Mining has grown rapidly in the past few years, despite the crash of the e-commerce boom of the late 1990s. Web Usage Mining is the application of data mining techniques to Web clickstream data in order to extract usage patterns. Yet, with all of the resources put into the problem, claims of success have been limited and are often tied to specific Web site properties that are not found in general. One reason for the limited success has been a component of Web Usage Mining that is often overlooked---the need to understand the content and structure of a Web site. The processing and quantification of a Web sites content and structure for all but completely static and single frame Web sites is arguably one of the most difficult tasks to automate in the Web Usage Mining process. This article shows that, not only is the Web Usage Mining process enhanced by content and structure, it cannot be completed without it. The results of experiments run on data from a large e-commerce site are presented to show that proper preprocessing cannot be completed without the use of Web site content and structure, and that the effectiveness of pattern analysis is greatly enhanced.