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Association rule-based classifiers have recently emerged as competitive classification systems. However, there are still deficiencies that hinder their performance. One deficiency is the use of rules in the classification stage. Current systems assign classes to new objects based on the best rule applied or on some predefined scoring of multiple rules. In this paper we propose a new technique where...
This paper presents a parallel external-memory algorithm for performing a breadth-first traversal of an implicit graph on a cluster of workstations. The algorithm is a parallel version of the sorting-based external-memory frontier breadth-first traversal with delayed duplicate detection algorithm. The algorithm distributes the workload according to intervals that are computed at runtime via a sampling-based...
This paper presents a new perspective on the traditional AI task of problem solving and the techniques of abstraction and refinement. The new perspective is based on the well-known, but little exploited, relation between problem solving and the task of finding a path in a graph between two given nodes. The graph oriented view of abstraction suggests two new families of abstraction techniques, algebraic...
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