dmFSQL:一种数据挖掘语言

17th International Workshop on Database and Expert Systems Applications (DEXA'06) Pub Date : 2006-09-04 DOI:10.1109/DEXA.2006.53

R. Carrasco, M. Vila, F. Araque

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引用次数: 16

摘要

目前，我们有一个用于Oraclecopy数据库的FSQL服务器，它允许我们使用FSQL(模糊SQL)语言查询任何数据类型的模糊或经典数据库。FSQL语言是SQL语言的扩展，它允许我们在对模糊数据库或传统数据库的查询中编写灵活的条件。在本文中，我们将FSQL扩展为一种新的语言，称为dmFSQL(数据挖掘模糊结构化查询语言)，可用于解决实际的聚类和分类问题。我们认为该模型满足数据挖掘系统的要求

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dmFSQL: a Language for Data Mining

At present, we have a FSQL server available for Oraclecopy databases which allow us to query a fuzzy or classical database with the FSQL (fuzzy SQL) language for any data type. The FSQL language is an extension of the SQL language, which permits us to write flexible conditions in our queries to a fuzzy or traditional database. In this paper, we proceed to extend FSQL into a new language called dmFSQL (data mining fuzzy structured query language) which can be used to solve real problems of clustering and classification. We consider that this model satisfies the requirements of data mining systems

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17th International Workshop on Database and Expert Systems Applications (DEXA'06)

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