MINING RULES FROM MONOTONE CLASSIFICATION MEASURING IMPACT OF INFORMATION SYSTEMS ON BUSINESS COMPETITIVENESS

机译：单调分类的采矿规则衡量信息系统对业务竞争力的影响

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Motivation for this paper are classification problems in which data can not be clearly divided into positive and negative examples, especially data in which there is a monotone hierarchy (degree, preference) of more or less positive (negative) examples. We use data expressing the impact of information systems on business competitiveness in a graded way. The research was conducted on a sample of more than 200 Slovak companies. Competitiveness is estimated by Porter's model. The induction is achieved via multiple use of two valued induction on alpha-cuts of graded examples with monotonicity axioms in background knowledge. We present results of ILP system ALEPH on above data interpreted as annotated rules. We comment on relations of our results to some statistical models.

机译：本文的动机是无法将数据清楚地分为正例和负例的分类问题，尤其是其中单调层次结构（程度，偏好）或多或少有正例（负例）的数据。我们使用分级表示方式表达信息系统对业务竞争力的影响的数据。该研究是对200多家斯洛伐克公司的样本进行的。竞争力是由波特模型估算的。通过在背景知识中具有单调性公理的分级示例的alpha割上多次使用两个值的归纳法来实现归纳。我们在上述被解释为注释规则的数据上展示了ILP系统ALEPH的结果。我们对结果与某些统计模型之间的关系进行评论。

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《IFIP 159; IFIP TC 5 / WG 5.5 IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing And Services; 20040927-29; Vienna(AT)》|2004年|P.451-458|共8页
会议地点 Vienna(AT)
作者
Tomas Horvath; Frantisek Sudzina; Peter Vojtas;
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Faculty of Science, University Of Pavol Jozef Safarik in Kosice SLOVAKIA;

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原文格式 PDF
正文语种 eng
中图分类系统科学;
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机译：来自单调分类的挖掘规则测量信息系统对业务竞争力的影响

MINING RULES FROM MONOTONE CLASSIFICATION MEASURING IMPACT OF INFORMATION SYSTEMS ON BUSINESS COMPETITIVENESS

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