We address the problem of approximate string matching in two dimensions, that is, to nd a pattern of size m m in a text of size n n with at most k errors (substitutions, insertions...
We study the problem of minimizing the expected cost of binary searching for data where the access cost is not fixed and depends on the last accessed element, such as data stored i...
Gonzalo Navarro, Ricardo A. Baeza-Yates, Eduardo F...
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
We propose approximation algorithms under game-theoretic considerations. We indroduce and study the general covering problem which is a natural generalization of the well-studied m...
Both human users and crawlers face the problem of finding good start pages to explore some topic. We show how to assist in qualifying pages as start nodes by link-based ranking al...