C4.5: programs for machine learning
C4.5: programs for machine learning
Visual information seeking: tight coupling of dynamic query filters with starfield displays
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
Revisitation patterns in World Wide Web navigation
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Visualizing the evolution of Web ecologies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Horting hatches an egg: a new graph-theoretic approach to collaborative filtering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Using association rules for product assortment decisions: a case study
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
SPRINT: A Scalable Parallel Classifier for Data Mining
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Data mining for path traversal patterns in a web environment
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Characterizing the scalability of a large web-based shopping system
ACM Transactions on Internet Technology (TOIT)
Emerging trends in business analytics
Communications of the ACM - Evolving data mining into solutions for insights
Applications of Data Mining to Electronic Commerce
Data Mining and Knowledge Discovery
Visualization and Analysis of Clickstream Data of Online Stores with a Parallel Coordinate System
EC-WEB '00 Proceedings of the First International Conference on Electronic Commerce and Web Technologies
A Visual One-Page Catalog Interface for Analytical Product Selection
EC-Web 2001 Proceedings of the Second International Conference on Electronic Commerce and Web Technologies
Sparse LCS common substring alignment
Information Processing Letters
LinkSelector: A Web mining approach to hyperlink selection for Web portals
ACM Transactions on Internet Technology (TOIT)
Lessons and Challenges from Mining Retail E-Commerce Data
Machine Learning
An Interactive Visual Interface for Online Product Catalogs
Electronic Commerce Research
The SKM Algorithm: A K-Means Algorithm for Clustering Sequential Data
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
A Privacy-Protecting Business-Analytics Service for On-Line Transactions
International Journal of Electronic Commerce
Automated construction of web accessibility models from transaction click-streams
Proceedings of the 18th international conference on World wide web
WSEAS Transactions on Information Science and Applications
The personalized recommendation with bundling strategy based on product consuming period
CIS'09 Proceedings of the international conference on Computational and information science 2009
Electronic Commerce Research and Applications
Expert Systems with Applications: An International Journal
Web Semantics: Science, Services and Agents on the World Wide Web
Markov model based mobile clickstream analysis with sub-day, day and week-scale transitions
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
Mobile video user revisit analysis based on multi-day visiting patterns
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Price bundling for personalized recommendation
ISTASC'10 Proceedings of the 10th WSEAS international conference on Systems theory and scientific computation
Expert Systems with Applications: An International Journal
A pattern restore method for restoring missing patterns in server side clickstream data
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Feature-based projections for effective playtrace analysis
Proceedings of the 6th International Conference on Foundations of Digital Games
An exploratory analysis on user behavior regularity in the mobile internet
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Product recommendations for cross-selling in electronic business
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Clickstream visualization based on usage patterns
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Integrating collaborative filtering and matching-based search for product recommendations
Journal of Theoretical and Applied Electronic Commerce Research
Prediction of members' return visit rates using a time factor
Electronic Commerce Research and Applications
Understanding users' behavior with software operation data mining
Computers in Human Behavior
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Clickstreams are visitors' paths through a Web site. Analysis of clickstreams shows how a Web site is navigated and used by its visitors. Clickstream data of online stores contains information useful for understanding the effectiveness of marketing and merchandising efforts, such as how customers find the store, what products they see, and what products they purchase. In this paper, we present an interactive visualization system that provides users with greater abilities to interpret and explore clickstream data of online stores. This system visualizes the effectiveness of Web merchandising from two different points of view by using two different visualization techniques: visualization of sessions by using parallel coordinates and visualization of product performance by using starfield graphs. Furthermore, this system provides facilities for zooming, filtering, color-coding, dynamic querying and data sampling. It also provides summary information along with visualizations, and by maintaining a connection between visualizations and the source database, it dynamically updates the summary information. To demonstrate how the presented visualization system provides capabilities for examining online store clickstreams, we present a series of parallel coordinates and starfield visualizations that display clickstream data from an operating online retail store. A framework for understanding Web merchandising is briefly explained. A set of metrics referred to as imicro-conversion rates, which are defined for Web merchandising analysis in our previous work (Lee et al., Electronic Markets, 2000), is also explained and used for the visualizations of online store effectiveness.