数据挖掘中的混合机器学习方法

2010 Second International Conference on Machine Learning and Computing Pub Date : 2010-02-09 DOI:10.1109/ICMLC.2010.57

Jyothi Bellary, Bhargavi Peyakunta, Sekhar Konetigari

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引用次数: 7

摘要

在本文中，我们讨论了用于数据挖掘的各种机器学习方法。我们进一步区分了符号和子符号数据挖掘方法。我们还尝试提出一种将人工神经网络(ANN)和基于案例推理(CBR)相结合的数据挖掘混合方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Hybrid Machine Learning Approach in Data Mining

In this paper we discuss various machine learning approaches used in mining of data. Further we distinguish between symbolic and sub-symbolic data mining methods. We also attempt to propose a hybrid method with the combination of Artificial Neural Network (ANN) and Cased Based Reasoning (CBR) in mining of data.

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来源期刊

2010 Second International Conference on Machine Learning and Computing

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