Automating Data Preprocessing with DMPML and KDDML

P. Gonçalves, Roberto S. M. Barros
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引用次数: 5

Abstract

This paper presents a graphical application for the Data Mining Preparation Markup Language (DMPML), which is an XML application designed to represent the data preparation phase of the KDD process. DMPML supports the reuse of data preprocessing directives using XSLT to map raw data into data ready to be used by many data mining algorithms. The application presented here, DMPML-TS, automates the data preparation phase, speeding up the codification and transformation of data, and providing support to facilitate the use of different data mining algorithms in the same and/or similar data, based on their codification stored in separate XML documents. This paper also presents improvements made to DMPML like the adoption of XRFF for input and output data and the use of only one XSLT file for data transformation. We also present the integration of DMPML-TS and KDDML, an XML language used to represent data, mining models, and queries.
使用DMPML和KDDML实现数据预处理自动化
本文提出了一个数据挖掘准备标记语言(DMPML)的图形化应用程序,DMPML是一个用于表示KDD过程的数据准备阶段的XML应用程序。DMPML支持使用XSLT重用数据预处理指令,将原始数据映射为可供许多数据挖掘算法使用的数据。本文介绍的应用程序DMPML-TS自动化了数据准备阶段,加快了数据的编码和转换,并根据存储在单独XML文档中的编码,提供支持以促进在相同和/或类似数据中使用不同的数据挖掘算法。本文还介绍了对DMPML所做的改进,例如对输入和输出数据采用XRFF,以及仅使用一个XSLT文件进行数据转换。我们还介绍了DMPML-TS和KDDML的集成,KDDML是一种用于表示数据、挖掘模型和查询的XML语言。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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