有效的可服务性有助于尽早解决客户报告的问题，这可以提高客户满意度并改进产品支持。
Effective serviceability AIDS in the early resolution of customer-reported problems, which then can result in higher customer satisfaction and improved product support.
MDRBR算法采用单一的规则支持度阈值进行缺省规则的挖掘，这不利于有效地挖掘出用户感兴趣的缺省规则。
MDRBR algorithm USES uniform minimum support threshold for mining default decision rules, the method can not effectively mine the interesting default decision rules to users.
MDRBR算法通过规则支持度进行约束，可有效提高缺省规则的挖掘效率。
MDRBR algorithm improves efficiency of existing algorithms for mining default rules with support measure constraint.
通过对规则支持度提出新的定义，对现有的模型进行了扩展，并由此提出了一种新的决策规则挖掘算法，实验结果表明了其有效性。
This paper gives the rule-support degree a new definition, extends present models and brings forward an algorithm of mining weighted-decision-rules, the result of the experiment shows its effectivity.
在此基础上，进一步给出了相应的多支持度关联规则发现算法，并通过实验证明了算法的有效性。
Based on the grouping method, an algorithm is proposed, and experiment show the algorithm quiet efficient.
该算法有效的提高了分类精确度，并且能够直接支持关系数据库，运行时间远远小于基于ILP技术的关系数据分类算法。
This algorithm improved accuracy rate, support relational databases directly. Its running time is much lower than ILP based relational classification methods.
试验结果表明：电刺激仪各项刺激参数输出精确度高，能有效降低牛肉的剪切力值，为牛肉嫩化加工提供了技术支持。
The output of electrical stimulation parameters can achieve the tenderizing requirements with its high precision, which provides the technical support for the beef tenderizing processing.
本算法在保证分类准确度的同时，在增量学习问题上比传统的支持向量机有效。
This algorithm, in the incremental study question, is more effective than the traditional support vector machine, with assuring the classify accuracy.
实验结果显示，采用模糊支持向量机有效地提高了识别准确度。
The experiments show using fuzzy support vector machine significantly improves the overall recognition rate.
实验结果显示，采用模糊支持向量机有效地提高了识别准确度。
The experiments show using fuzzy support vector machine significantly improves the overall recognition rate.
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