Aug 20, 2002 · Decision tree construction is a very well studied problem in data mining, machine learning, and statistics communities [3,2,7,8,9].

Decision tree construction is a very well studied problem in data mining, machine learning, and statistics communities [3,2,7,8,9]. The input to a decision ...

Ruoming Jin, Gagan Agrawal: Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware. Euro-Par 2002: 346-354.

networks [11], and decision tree classifiers [19] share a relatively similar structure. The middleware performs distributed memory parallelization across the ...

Abstract. With recent technological advances, shared memory parallel machines have become more scal- able, and offer large main memories and high bus ...

With recent technological advances, shared memory parallel machines have become more scalable, and offer large main memories and high bus bandwidths.

ABSTRACT. Decision tree construction is an important data mining problem. In this paper, we revisit this problem, with a new goal, i.e. Can we de-.

ABSTRACT. In this paper, we focus on using a cluster of SMPs for scalable data mining. We have developed distributed memory and shared.

With recent technological advances, shared memory parallel machines have become more scalable, and offer large main memories and high bus bandwidths.

Shared Memory Parallelization of Decision Tree Construction Using a General Middleware Ruoming Jin Gagan Agrawal Department of Computer and Information.