Mining the Space of Graph Properties

@misc{citeulike:336183, abstract = {Existing data mining algorithms on graphs look for nodes satisfying specific properties, such as specific notions of structural similarity or specific measures of link-based importance. While such analyses for predetermined properties can be effective in well-understood domains, sometimes identifying an appropriate property for analysis can be a challenge, and focusing on a single property may neglect other important aspects of the data. In this paper, we develop a foundation for...}, author = {Jeh, Glen and Widom, Jennifer }, citeulike-article-id = {336183}, keywords = {graph, link-based, link-spam}, posted-at = {2005-09-30 10:24:51}, priority = {4}, title = {Mining the Space of Graph Properties}, url = {http://citeseer.ist.psu.edu/560269.html} }

TY - GEN ID - citeulike:336183 L3 - citeulike-article-id:336183 N2 - Existing data mining algorithms on graphs look for nodes satisfying specific properties, such as specific notions of structural similarity or specific measures of link-based importance. While such analyses for predetermined properties can be effective in well-understood domains, sometimes identifying an appropriate property for analysis can be a challenge, and focusing on a single property may neglect other important aspects of the data. In this paper, we develop a foundation for... TI - Mining the Space of Graph Properties KW - graph KW - link-based KW - link-spam AU - Jeh, Glen AU - Widom, Jennifer UR - http://citeseer.ist.psu.edu/560269.html ER -