Universal tree interpreter for data mining models
    6.
    发明授权
    Universal tree interpreter for data mining models 有权
    数据挖掘模型的通用树解释器

    公开(公告)号:US06941318B1

    公开(公告)日:2005-09-06

    申请号:US10142169

    申请日:2002-05-10

    IPC分类号: G06F17/30 G06K9/62

    CPC分类号: G06K9/6282 Y10S707/99943

    摘要: A method, system, and computer program product for generating a representation of a data mining model that improves the transparency of data mining models so as to be more easily interpretable by human users. The method comprises the steps of: receiving a dataset, generating a callable version of the data mining model, and generating a tree representing decisional logic of the data mining model using the dataset.

    摘要翻译: 一种用于生成数据挖掘模型的表示的方法,系统和计算机程序产品,其提高数据挖掘模型的透明度,以便人们更易于解释。 该方法包括以下步骤:接收数据集,生成数据挖掘模型的可调用版本,以及使用数据集生成表示数据挖掘模型的决策逻辑的树。

    PROJECTION MINING FOR ADVANCED RECOMMENDATION SYSTEMS AND DATA MINING
    10.
    发明申请
    PROJECTION MINING FOR ADVANCED RECOMMENDATION SYSTEMS AND DATA MINING 审中-公开
    用于高级建议系统和数据挖掘的投影采矿

    公开(公告)号:US20090276403A1

    公开(公告)日:2009-11-05

    申请号:US12324295

    申请日:2008-11-26

    IPC分类号: G06F17/30 G06F15/18 G06F7/78

    CPC分类号: G06N20/00 G06Q10/109

    摘要: A method for projection mining comprises performing a first projection on a first data object of a first type comprising a plurality of data entries and a second data object of a second type comprising a plurality of data entries to create definitions of attributes of the first data object and definitions of attributes of the second data object, performing a second projection of the definitions of the attributes of the first data object and the definitions of the attributes of the second data object into a space of meta-attributes based on semantic relationships among the attributes of the first data object and the second data object, learning relationships between the space of meta-attributes formed by the projections of the first data object and the second data object and a space of meta-attributes relating to new data not included in the first data object and the second data object, and generating at least one new data object of the first or second type based on the new data using the learned relationships.

    摘要翻译: 一种用于投影挖掘的方法包括在包括多个数据条目的第一类型的第一数据对象上执行第一投影和包括多个数据条目的第二类型的第二数据对象,以创建第一数据对象的属性的定义 以及第二数据对象的属性的定义,基于属性之间的语义关系执行第一数据对象的属性的定义和第二数据对象的属性的定义的第二投影到元属性的空间中 所述第一数据对象和所述第二数据对象之间的所述第一数据对象与所述第二数据对象的投影所形成的元属性的空间之间的学习关系以及与不包括在所述第一数据对象 数据对象和第二数据对象,并且基于使用t的新数据生成第一或第二类型的至少一个新的数据对象 他学会了关系。