科学数据挖掘导论:直接核方法与应用

Computationally Intelligent Hybrid Systems Pub Date : 1900-01-01 DOI:10.1002/9780471683407.CH10

M. Embrechts, B. Szymanski, K. Sternickel

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引用次数: 26

摘要

本章包含的章节标题为:简介什么是数据挖掘?数据挖掘的基本定义直接核方法介绍直接核脊回归案例研究#1:预测氨基酸的结合能案例研究#2:预测意大利橄榄油的原产地案例研究#3:从心脏磁图预测缺血软计算和硬计算融合结论]]>

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Introduction to Scientific Data Mining: Direct Kernel Methods and Applications

This chapter contains sections titled: Introduction What Is Data Mining? Basic Definitions for Data Mining Introduction to Direct Kernel Methods Direct Kernel Ridge Regression Case Study #1: Predicting the Binding Energy for Amino Acids Case Study #2: Predicting the Region of Origin for Italian Olive Oils Case Study #3: Predicting Ischemia from Magnetocardiography Fusion of Soft Computing and Hard Computing Conclusions ]]>

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Computationally Intelligent Hybrid Systems

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