A data structure, called a biased range tree, is presented that preprocesses a set S of n points in R2 and a query distribution D for 2-sided orthogonal range counting queries. The...
Today there are many process mining techniques that allow for the automatic construction of process models based on event logs. Unlike synthesis techniques (e.g., based on regions...
We consider the problem of learning a general graph using edge-detecting queries. In this model, the learner may query whether a set of vertices induces an edge of the hidden grap...
Most work on pattern mining focuses on simple data structures such as itemsets and sequences of itemsets. However, a lot of recent applications dealing with complex data like chem...
Sandra de Amo, Nyara A. Silva, Ronaldo P. Silva, F...
In an uncertain data set S = (S, p, f) where S is the ground set consisting of n elements, p : S → [0, 1] a probability function, and f : S → R a score function, each element i...