基于形式概念分析的体育预测属性选择
Selecting Attributes for Sport Forecasting using Formal Concept Analysis
摘要：
为了解决复杂系统，将模式识别应用于它们的演化可以发挥关键作用，以了解它们的动态。需要全球模式来检测新出现的概念和趋势，其中一些具有定性性质。形式概念分析（FCA）是一种从定性数据中发现和提取知识的理论。它提供了使用蕴涵基（和关联规则）进行推理的工具。蕴涵和关联规则是有用的推理先前选定的属性，提供了一个形式化的基础，逻辑推理。在本文中，我们分析了如何应用FCA推理，以提高体育博彩的信心，通过检测时间的数据。并将其应用于建立一个基于知识的置信推理系统。
英文摘要：
In order to address complex systems, apply pattern recongnition on their evolution could play an key role to understand their dynamics. Global patterns are required to detect emergent concepts and trends, some of them with qualitative nature. Formal Concept Analysis (FCA) is a theory whose goal is to discover and to extract Knowledge from qualitative data. It provides tools for reasoning with implication basis (and association rules). Implications and association rules are usefull to reasoning on previously selected attributes, providing a formal foundation for logical reasoning. In this paper we analyse how to apply FCA reasoning to increase confidence in sports betting, by means of detecting temporal regularities from data. It is applied to build a Knowledge-Based system for confidence reasoning.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
