Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
ACM SIGKDD Explorations Newsletter
Designing Web Usability: The Practice of Simplicity
Designing Web Usability: The Practice of Simplicity
Mining the Web: Discovering Knowledge from HyperText Data
Mining the Web: Discovering Knowledge from HyperText Data
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining Access Patterns Efficiently from Web Logs
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
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 Mining: Information and Pattern Discovery on the World Wide Web
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A temporal comparison of AltaVista Web searching: Research Articles
Journal of the American Society for Information Science and Technology
Interactive Exploration of Data Traffic with Hierarchical Network Maps
IEEE Transactions on Visualization and Computer Graphics
FACT-Graph: Trend Visualization by Frequency and Co-occurrence
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data
Development and case study of trend analysis software based on FACT-Graph
Artificial Life and Robotics
A Visualization Technique for Access Patterns and Link Structures of Web Sites
IV '10 Proceedings of the 2010 14th International Conference Information Visualisation
Comparison analysis for text data by using FACT-graph
HCII'11 Proceedings of the 1st international conference on Human interface and the management of information: interacting with information - Volume Part II
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We describe a web access log analysis of an e-commerce site as visualized by FACT-Graph with a sequential probability ratio test. Web access log analysis is an important task, and is termed as web usage mining. A variety of studies have been conducted on this subject. However, there is no known study that has focused on understanding the trends and relationships in the analysis considering the structural change of the access trends, especially in visualization fields. To solve this problem, we propose an analysis using FACT-Graph with a sequential probability ratio test. FACT-Graph has been used for the trend visualization of text mining, while the sequential probability ratio test has been used for quality control. We utilize the sequential probability test to detect structural changes and FACT-Graph for visualization by considering the session and accessed pages in the access log as articles and words in text. We can visualize data by using FACT-Graph in an experiment using 1.6 million access logs generated between July 2010 and June 2011 on the basis of 13 structural change points detected by the sequential probability ratio test.