User-adaptive exploration of multidimensional data

@misc{citeulike:899610, abstract = {In this paper we present a tool for enhanced exploration of OLAP data that is adaptive to a user's prior knowledge of the data. The tool continuously keeps track of the parts of the cube that a user has visited. The information in these scattered visited parts of the cube is pieced together to form a model of the user's expected values in the unvisited parts. The mathematical foundation for this modeling is provided by the classical Maximum Entropy principle. At any time, the user can query for ...}, author = {Sarawagi, S. }, citeulike-article-id = {899610}, keywords = {exploration, olap, sarawagi}, posted-at = {2007-09-19 11:17:32}, priority = {0}, title = {User-adaptive exploration of multidimensional data}, url = {http://citeseer.ist.psu.edu/sarawagi00useradaptive.html}, year = {2000} }

TY - GEN ID - citeulike:899610 L3 - citeulike-article-id:899610 TI - User-adaptive exploration of multidimensional data N2 - In this paper we present a tool for enhanced exploration of OLAP data that is adaptive to a user's prior knowledge of the data. The tool continuously keeps track of the parts of the cube that a user has visited. The information in these scattered visited parts of the cube is pieced together to form a model of the user's expected values in the unvisited parts. The mathematical foundation for this modeling is provided by the classical Maximum Entropy principle. At any time, the user can query for ... KW - exploration KW - olap KW - sarawagi AU - Sarawagi, S PY - 2000/// UR - http://citeseer.ist.psu.edu/sarawagi00useradaptive.html ER -