所进行调查的设计和程序

Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis Pub Date : 1900-01-01 DOI:10.4018/978-1-7998-7316-7.ch004

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引用次数: 0

摘要

在本章中，介绍了第3章中提出的每个案例研究模型的设计及其不同的实验程序。本章包括数据准备、合适的参数和数据预处理，以及两个案例的详细设计。案例1:检验高性能基因选择和癌症分类算法的准确性和效率(时间复杂度);案例2:一种用于高结肠癌分类的两阶段混合多滤波特征选择方法。给出了实验装置和实验环境，以及所用硬件和软件的描述。

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Design and Procedures for the Investigation Conducted

In this chapter, the design of each proposed case study model mentioned in Chapter 3 is presented with their different experimental procedures. The chapter includes the data preparation, suitable parameters and data pre-processing, and detailed design of two case studies. Case 1: examining the accuracy and efficiency (time complexity) of high-performance gene selection and cancer classification algorithms; Case 2: A two-stage hybrid multi-filter feature selection method for high colon-cancer classification. It shows the experimental setup and environment and the description of the hardware and software components used.

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Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis

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