Titlebook: Proactive Data Mining with Decision Trees; Haim Dahan,Shahar Cohen,Oded Maimon Book 2014 The Author(s) 2014 active learning.data mining.de

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陳舊

avenge

侵略

2191-8112 ach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the

GULP

Proactive Data Mining: A General Approach and Algorithmic Framework,ive data mining. This approach is based on supervised learning, but focuses on actions and optimization, rather than on extracting accurate patterns. We present an algorithmic framework for tackling the new task. We begin this chapter by describing our notation.

insolence

Proactive Data Mining Using Decision Trees,ementing proactive data mining using: (a) a ready-made decision tree algorithm, and (b) a novel decision tree algorithm. We designed this latter algorithm to support the optimization phase of the proposed framework.

愛好

Decibel

Book 2014 for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classi

農(nóng)學(xué)

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