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There have been some efforts to define standards for the data mining process, for example, the 1999 European Cross Industry Standard Process for Data Mining (CRISP-DM 1.0) and the 2004 Java Data Mining standard (JDM 1.0). Development on successors to these processes (CRISP-DM 2.0 and JDM 2.0) was active in 2006 but has stalled since. JDM 2.0 was withdrawn without reaching a final draft.

There have been some efforts to define standards for the data mining process, for example, the 1999 European Cross Industry Standard Process for Data Mining (CRISP-DM 1.0) and the 2004 Java Data Mining standard (JDM 1.0). Development on successors to these processes (CRISP-DM 2.0 and JDM 2.0) was active in 2006 but has stalled since. JDM 2.0 was withdrawn without reaching a final draft.

已经有一些工作为数据挖掘过程定义标准，例如，1999年欧洲跨行业数据挖掘标准过程(CRISP-DM 1.0)和2004年 Java 数据挖掘标准(JDM 1.0)。这些程序的后续程序(CRISP-DM 2.0和 JDM 2.0)的开发活跃于2006年，但此后一直停滞不前。Jdm 2.0没有达成最终草案就被撤销了。

为数据挖掘过程定义了一些标准，例如1999年欧洲跨行业数据挖掘标准流程（CRISP-DM 1.0）和2004年Java数据挖掘标准（JDM 1.0）。这些程序的后续程序（CRISP-DM 2.0和 JDM 2.0）的开发活跃于2006年，但此后一直停滞不前。Jdm 2.0没有达成最终草案就被撤销了。

For exchanging the extracted models – in particular for use in predictive analytics – the key standard is the Predictive Model Markup Language (PMML), which is an XML-based language developed by the Data Mining Group (DMG) and supported as exchange format by many data mining applications. As the name suggests, it only covers prediction models, a particular data mining task of high importance to business applications. However, extensions to cover (for example) subspace clustering have been proposed independently of the DMG.

For exchanging the extracted models – in particular for use in predictive analytics – the key standard is the Predictive Model Markup Language (PMML), which is an XML-based language developed by the Data Mining Group (DMG) and supported as exchange format by many data mining applications. As the name suggests, it only covers prediction models, a particular data mining task of high importance to business applications. However, extensions to cover (for example) subspace clustering have been proposed independently of the DMG.

为了交换所提取的模型，特别是在预测分析中使用，关键的标准是预测模型标记语言(PMML) ，这是一种基于 xml 的语言，由数据挖掘集团(DMG)开发，并支持作为交换格式的许多数据挖掘应用程序。顾名思义，它只涵盖预测模型，这是一项对业务应用程序非常重要的特殊数据挖掘任务。然而，覆盖子空间聚类的扩展(例如)已经独立于 DMG 被提出。

为了交换所提取的模型，特别是在预测分析中使用，关键的标准是预测模型标记语言 PMML，这是一种基于 xml 的语言，由数据挖掘集团 DMG 开发，并支持作为交换格式的许多数据挖掘应用程序。顾名思义，它只涵盖预测模型，这是一项对业务应用程序非常重要的特殊数据挖掘任务。然而，覆盖子空间聚类的扩展(例如)已经独立于 DMG 被提出。

==显著用途 Notable uses==

==显著用途 Notable uses==