I also talked about the first method of data mining - regression - which allows you to predict a numerical value for a given set of input values.
我还谈到了第一种数据挖掘的方法—回归—使用它可以根据一组给定的输入值预测数字值。
Aiming at the method of binary system conversion in data mining, this paper defines binary system sequences set and its related concepts.
针对在数据挖掘中采用二进制转换的方法，定义了二进制序列集的相关概念并为此提供依据。
This paper introduces a method for mining risk rules using variable precision rough set (VPRS) model.
文章介绍了利用变精度粗糙集进行风险规则挖掘的一种方法。
As an important method of data mining, rough set theory is a powerful mathematical tool to deal with uncertainty and noise.
约略集理论是一种能处理数据中不确定和噪音的有效数学工具，是数据挖掘的重要方法。
This paper introduces a method for mining risk rules using Rough Set theory.
该文介绍利用粗糙集理论进行风险规则挖掘的一种方法。
Experiment shows that the classification rule mining method using hybrid genetic algorithms can find a set of the succinct, accurate and comprehensible classification rules.
实验表明，基于混合遗传算法的分类规则挖掘方法能够从数据集中发现一个简洁、准确、易理解的规则集。
A new method of data mining based on rough set and neural network is proposed.
提出了一种基于神经网络和粗集的数据挖掘新方法。
A new data mining method based on rough set theory and neural rules method is established.
确立了结合粗糙集理论和神经规则法进行数据挖掘的方法。
This method conquers the disadvantage of traditional association rules mining methods, mining rules while mining frequent-item set, so the mining efficiency is greatly enhanced.
该方法克服了传统关联规则挖掘方法的不足，在产生频繁项集的同时进行规则挖掘，从而提高了挖掘效率。
This paper introduces a method for mining risk rules using Rough Set theory.
文章介绍了利用变精度粗糙集进行风险规则挖掘的一种方法。
Fuzzy rough set theory is an important method for data mining of uncertain data.
模糊粗糙集理论是一种处理不确定性信息的重要的数据挖掘方法。
To meet more extensive mining demand, this paper presents another immune association rule mining method, which aimes at the largest frequent item set.
针对更一般的挖掘需求，提出一种以最大频繁项目集为目标的免疫挖掘算法。
Rough set theory is a new data mining and decision analysis method. Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.
粗糙集理论是一种新型的数据挖掘和决策分析方法，利用粗糙集理论进行决策表的知识约简与决策规则挖掘已经成为研究热点。
Methods Utilization data mining algorithms such as the rough set method to find unknown and potential information.
方法利用粗糙集等数据挖掘的算法，从中发现事先未知、但又是潜在有用的信息。
To acquire Kansei information effectively in the conceptual design, a new method of association rule mining for Kansei knowledge based on rough set theory was proposed.
获得感性信息有效地在概念设计，基于粗糙集理论的感性知识关联规则挖掘的新方法，提出了。
A new method was proposed for data mining problem which integrated intuitionistic fuzzy set and neural network theory.
针对数据挖掘问题，将直觉模糊集与神经网络理论相结合，提出一种新的方法。
In this paper, we mainly discuss a new method-to find a maximum frequent set based on the mining of relative set transaction database.
基于相关集合事务数据库这一挖掘思想，提出一个新的方法——寻找最大频繁集。
In this paper we propose an algorithm which can mining quantitative association rules in rough set. The pattern mined by this method has high precision.
本文提出一个利用关联规则技术从粗糙集中发现知识的算法，该算法挖掘出的模式具有较高的精确度。
In this paper we propose an algorithm which can mining quantitative association rules in rough set. The pattern mined by this method has high precision.
本文提出一个利用关联规则技术从粗糙集中发现知识的算法，该算法挖掘出的模式具有较高的精确度。
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