@inproceedings{39b98c30c2434e45bab809c082fba8f7,
title = "A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules",
abstract = "The Web serves as a global information service center that contains vast amount of data. The Website structure should be designed effectively so that users can efficiently find their information. The main contribution of this paper is to propose a graph-based optimization algorithm to modify Website topology using interesting association rules. The interestingness of an association rule A → B is defined based on the probability measure between two sets of Web pages A and B in the Website. If the probability measure between A and B is low (high), then the association rule A → B has high (low) interest. The hyperlinks in the Website can be modified to adapt user access patterns according to association rules with high interest. We present experimental results and demonstrate that our method is effective.",
author = "Wu, {Edmond H.} and Ng, {Michael K.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2003; 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2003 ; Conference date: 30-04-2003 Through 02-05-2003",
year = "2003",
month = apr,
day = "16",
doi = "10.1007/3-540-36175-8_18",
language = "English",
isbn = "9783540047605",
series = "Lecture Notes in Computer Science",
publisher = "Springer Berlin Heidelberg",
pages = "178--190",
editor = "Kyu-Young Wang and Jongwoo Jeon and Kyuseok Shim and Jaideep Srivastava",
booktitle = "Advances in Knowledge Discovery and Data Mining",
edition = "1st",
url = "https://link.springer.com/book/10.1007/3-540-36175-8",
}