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Projection mining for advanced recommendation systems and data mining

机译:用于高级推荐系统的投影挖掘和数据挖掘

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.
机译: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和包括多个数据条目的第二类型的第二数据对象上执行第一投影,以创建第一数据对象的属性的定义和第二数据对象的属性定义,基于属性之间的语义关系,对第一数据对象的属性定义和第二数据对象的属性定义进行第二次投影到元属性空间中在第一数据对象和第二数据对象的关系中,由第一数据对象和第二数据对象的投影形成的元属性空间与与第一数据对象中未包括的新数据有关的元属性空间之间的学习关系数据对象和第二数据对象,并使用t根据新数据生成至少一个第一或第二类型的新数据对象他学会了人际关系。

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