Implementing agglomerative hierarchic clustering algorithms for use in document retrieval
Information Processing and Management: an International Journal
Recent trends in hierarchic document clustering: a critical review
Information Processing and Management: an International Journal
Inferring decision trees using the minimum description length principle
Information and Computation
Singular extensions: adding selectivity to brute-force searching
Artificial Intelligence - Special issue on computer chess
Boolean Feature Discovery in Empirical Learning
Machine Learning
Information retrieval
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Adaptive Web sites: automatically synthesizing Web pages
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Vision and Navigation: The Carnegie Mellon Navlab
Vision and Navigation: The Carnegie Mellon Navlab
Conceptual Clustering, Categorization, and Polymorphy
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Sampling Large Databases for Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Adaptive web sites: an AI challenge
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Machine Learning in User Modeling
Machine Learning and Its Applications, Advanced Lectures
Towards Zero-Input Personalization: Referrer-Based Page Prediction
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Technologies and the development of the Automated Metadata Indexing and Analysis (AMIA) system
Journal of Visual Communication and Image Representation
A graph-based optimization algorithm for website topology using interesting association rules
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
WebPUM: A Web-based recommendation system to predict user future movements
Expert Systems with Applications: An International Journal
Designing self-adaptive websites using online hotlink assignment algorithm
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
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The creation of a complex web site is a thorny problem in. user interface design. In IJCAI '97, we challenged the AI community to address this problem by creating adaptive web sites. In response, we investigate the problem of index page synthesis - the automatic creation of pages that facilitate a visitor's navigation of a Web site. Previous work has employed statistical methods to generate candidate index pages that are of limited value because they do not correspond to concepts or topics that are intuitive to people. In this paper we formalize index page synthesis as a conceptual clustering problem and introduce a novel approach which we call conceptual cluster mining: we search for a small number of cohesive clusters that correspond to concepts in a given concept description language L. Next, we present SGML, an algorithm schema that combines a statistical clustering algorithm with a concept learning algorithm. The clustering algorithm is used to generate seed clusters, and the concept learning algorithm to describe these seed clusters using expressions in L. Finally, we offer preliminary experimental evidence that instantiations of SGML outperform existing algorithms (e.g., COBWEB) in this domain.