计算分类学中的类信息学科学数据分析
Scientific Data Analysis for Class-Informatics in Computational Taxonomy
- Federal University of Paraná（巴拉那联邦大学）
- University of California at Davis（加州大学戴维斯分校）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
提出计算分类学中的类信息学框架，通过科学数据分析范式探索关联模式，解决异常检测、自校正标注及数据信息内容相等性假设等基础问题，并在鸢尾花数据上展示。
AI中文摘要：
在这个人工智能时代，计算分类学被提出用于研究复杂系统，通过在其分类层级下分析其数据库，并遵循科学原则提供“良好解释”。分支或类之间的比较通过科学数据分析（SDA）范式进行，该范式探索所有潜在的关联模式，包括所有高阶的交互效应，并通过有效利用所有变量的类别性质，逐个评估所有信息片段的有限样本精度。在每次比较下，所有确认的信息片段被收集并沿热图的行轴显示，所有涉及的研究对象位于列轴。每次比较的热图分别表征参与类别和研究对象，同时为所有非参与者的异常检测提供科学依据。所有这些热图随后共同构成所谓的类信息学，基于所有类别和研究对象的特征提供良好解释。计算分类学的类信息学确实解决了多个基本问题：Tukey超过60年的异常检测问题、自校正标注问题，以及对机器学习中测试和训练数据集之间信息内容相等性假设的关键检查。计算分类学的一个展示专门在鸢尾花数据上进行了说明。
英文摘要：
In this A.I. era, Computational Taxonomy is proposed to study complex systems by analyzing their databases under taxonomic hierarchies abiding the Principle of Science by providing "good explanations". Comparisons among branches or classes are carried out by Scientific Data Analysis (SDA) paradigm that explores all potential associative patterns, including interacting effects of all high orders, and evaluate finite sample precisions for all information pieces individually by effectively making use of all variables' categorical nature. Under each comparison, all confirmed information pieces are collected and displayed along row-axis of a heatmap with all involved study-subjects on the column-axis. Each comparison's heatmap individually characterizes participating classes and study-subjects and simultaneously provides a scientific basis for outlier detection upon all non-participants. All these heatmaps then collectively constitutes so-called Class-informatics that offers good explanations based on characteristic of all classes and study-subjects. Computational Taxonomy's Class-informatics indeed resolves multiple fundamental issues: Tukey's more than 60 years outlier detection problem, issue of self-correction annotation, and a crucial check on assumption of information-content equality between testing and training data sets in Machine Learning. A showcase of Computational Taxonomy is exclusively illustrated on Iris data.
