面向预测分析的特征工程策略可视化

Saggurthi Kishor Babu, S. Vasavi
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引用次数: 1

摘要

预测分析可以预测趋势,确定统计概率,并对大数据应用的欺诈和安全威胁采取行动。作者在早期的著作中讨论了基于变超参数高斯过程集成模型、人工神经网络、自动回归算法和高斯过程的预测分析即服务(PAaaS)框架。这种框架可以对数据进行深入的统计分析,有助于决策过程。本文报告了用于实时可视化和分析报告这些统计见解的PAaaS的表示层。使用Tableau将预测分析的各种特征工程策略的结果可视化,具体到特征工程策略的类型和可视化技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization of Feature Engineering Strategies for Predictive Analytics
Predictive analytics can forecast trends, determines statistical probabilities and to act upon fraud and security threats for big data applications. Predictive analytics as a service (PAaaS) framework based upon ensemble model that uses Gaussian process with varying hyper parameters, Artificial Neural Networks, Auto Regression algorithm and Gaussian process is discussed in the authors' earlier works. Such framework can make in-depth statistical insights of data that helps in decision making process. This article reports the presentation layer of PAaaS for real time visualization and analytical reporting of these statistical insights. Result from various feature engineering strategies for predictive analytics is visualized in specific to type of feature engineering strategy and visualization technique using Tableau.
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