On the bursty evolution of blogspace
Ravi Kumar, Jasmine Novak, et al.
WWW 2003
We describe a novel approach for clustering collections of sets, and its application to the analysis and mining of categorical data. By "categorical data," we mean tables with fields that cannot be naturally ordered by a metric - e.g., the names of producers of automobiles, or the names of products offered by a manufacturer. Our approach is based on an iterative method for assigning and propagating weights on the categorical values in a table; this facilitates a type of similarity measure arising from the co-occurrence of values in the dataset. Our techniques can be studied analytically in terms of certain types of non-linear dynamical systems.
Ravi Kumar, Jasmine Novak, et al.
WWW 2003
Ronald Fagin, Anna R. Karlin, et al.
STOC 2000
Christos H. Papadimitriou, Prabhakar Raghavan, et al.
FOCS 1994
Anna R. Karlin, Steven J. Phillips, et al.
FOCS 1992