Unknown attribute values in induction
Proceedings of the sixth international workshop on Machine learning
Firewalls and Internet security: repelling the wily hacker
Firewalls and Internet security: repelling the wily hacker
Characterizing browsing strategies in the World-Wide Web
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
The data warehouse toolkit: practical techniques for building dimensional data warehouses
The data warehouse toolkit: practical techniques for building dimensional data warehouses
On the Accuracy of Meta-learning for Scalable Data Mining
Journal of Intelligent Information Systems
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Improving data warehouse and business information quality: methods for reducing costs and increasing profits
Data preparation for data mining
Data preparation for data mining
Discovery of fraud rules for telecommunications—challenges and solutions
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient search for association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
The data webhouse toolkit: building the web-enabled data warehouse
The data webhouse toolkit: building the web-enabled data warehouse
KDD-Cup 2000 organizers' report: peeling the onion
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Visualizing the simple Baysian classifier
Information visualization in data mining and knowledge discovery
Mining e-commerce data: the good, the bad, and the ugly
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Real world performance of association rule algorithms
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
When and how to subsample: report on the KDD-2001 panel
ACM SIGKDD Explorations Newsletter
Emerging trends in business analytics
Communications of the ACM - Evolving data mining into solutions for insights
Mining Very Large Databases with Parallel Processing
Mining Very Large Databases with Parallel Processing
The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing and Deploying Data Warehouses with CD Rom
Mastering Data Mining: The Art and Science of Customer Relationship Management
Mastering Data Mining: The Art and Science of Customer Relationship Management
Mining the Web: Transforming Customer Data into Customer Value
Mining the Web: Transforming Customer Data into Customer Value
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Programming Spiders, Bots, and Aggregators in Java
Programming Spiders, Bots, and Aggregators in Java
A Survey of Methods for Scaling Up Inductive Algorithms
Data Mining and Knowledge Discovery
Applications of Data Mining to Electronic Commerce
Data Mining and Knowledge Discovery
Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising
Data Mining and Knowledge Discovery
Discovery of Web Robot Sessions Based on their Navigational Patterns
Data Mining and Knowledge Discovery
Parallel Mining of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Machine Learning
Integrating E-Commerce and Data Mining: Architecture and Challenges
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
A Requirements Analysis for Parallel KDD Systems
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction
Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation
Scalable, High-Performance Data Mining with Parallel Processing
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis
INFORMS Journal on Computing
Why We Buy: The Science of Shopping
Why We Buy: The Science of Shopping
Learning trees and rules with set-valued features
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Editorial: Data Mining Lessons Learned
Machine Learning
Web usage mining based on probabilistic latent semantic analysis
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data
Knowledge and Information Systems
Validation and interpretation of Web users' sessions clusters
Information Processing and Management: an International Journal
Practical guide to controlled experiments on the web: listen to your customers not to the hippo
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient ticket routing by resolution sequence mining
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Controlled experiments on the web: survey and practical guide
Data Mining and Knowledge Discovery
Seven pitfalls to avoid when running controlled experiments on the web
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Report on the TrebleCLEF query log analysis workshop 2009
ACM SIGIR Forum
Data mining for web personalization
The adaptive web
Journal of Biomedical Informatics
Modeling DNS activities based on probabilistic latent semantic analysis
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Finding unexpected navigation behaviour in clickstream data for website design improvement
Journal of Web Engineering
Leakage in data mining: formulation, detection, and avoidance
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Using OVA modeling to improve classification performance for large datasets
Expert Systems with Applications: An International Journal
Improving the web usage analysis process: a UML model of the ETL process
WebKDD'04 Proceedings of the 6th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
Task-Oriented web user modeling for recommendation
UM'05 Proceedings of the 10th international conference on User Modeling
Leakage in data mining: Formulation, detection, and avoidance
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on the Best of SIGKDD 2011
Integrating OLAP/SOLAP in E-Business Domains: An Empirical Study
Information Resources Management Journal
International Journal of Business Intelligence and Data Mining
LiveAction: Automating Web Task Model Generation
ACM Transactions on Interactive Intelligent Systems (TiiS)
Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining
INFORMS Journal on Computing
Learning theory analysis for association rules and sequential event prediction
The Journal of Machine Learning Research
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The architecture of Blue Martini Software's e-commerce suite has supported data collection, data transformation, and data mining since its inception. With clickstreams being collected at the application-server layer, high-level events being logged, and data automatically transformed into a data warehouse using meta-data, common problems plaguing data mining using weblogs (e.g., sessionization and conflating multi-sourced data) were obviated, thus allowing us to concentrate on actual data mining goals. The paper briefly reviews the architecture and discusses many lessons learned over the last four years and the challenges that still need to be addressed. The lessons and challenges are presented across two dimensions: business-level vs. technical, and throughout the data mining lifecycle stages of data collection, data warehouse construction, business intelligence, and deployment. The lessons and challenges are also widely applicable to data mining domains outside retail e-commerce.