Distribution-based aggregation for relational learning with identifier attributes
نویسندگان
چکیده
منابع مشابه
ACORA: Distribution-Based Aggregation for Relational Learning from Identifier Attributes
Feature construction through aggregation plays an essential role in modeling relational domains with one-to-many relationships between tables. One-to-many relationships lead to bags (multisets) of related entities, from which predictive information must be captured. This paper focuses on aggregation from categorical attributes that can take many values (e.g., object identifiers). We present a n...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2006
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-006-6064-1