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CORR
2008
Springer
74views Education» more  CORR 2008»
13 years 10 months ago
Biased Range Trees
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...
Vida Dujmovic, John Howat, Pat Morin
ACSD
2007
IEEE
116views Hardware» more  ACSD 2007»
14 years 4 months ago
Finding Structure in Unstructured Processes: The Case for Process Mining
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...
Wil M. P. van der Aalst, Christian W. Günther
COLT
2004
Springer
14 years 3 months ago
Learning a Hidden Graph Using O(log n) Queries Per Edge
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...
Dana Angluin, Jiang Chen
IS
2010
13 years 8 months ago
Tree pattern mining with tree automata constraints
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...
ISAAC
2007
Springer
118views Algorithms» more  ISAAC 2007»
14 years 4 months ago
Dynamic Structures for Top- k Queries on Uncertain Data
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...
Jiang Chen, Ke Yi