Data Mining Unlearnable Data Sets

专利名称：Data Mining Unlearnable Data Sets发明人：Adam Kowalczyk,Alex Smola,Cheng Soon

Ong,Olivier Chapelle

申请号：US11572193申请日：20050718

公开号：US20080027886A1公开日：20080131

专利附图：

摘要：This invention concerns data mining, that is the extraction of information, from“unlearnable” data sets. In particular it concerns apparatus and a method for thispurpose. The invention involves creating a finite training sample from the data set (). Then

training () a learning device () using a supervised learning algorithm to predict labels foreach item of the training sample. Then processing other data from the data set with thetrained learning device to predict labels and determining whether the predicted labelsare better (learnable) or worse (anti-learnable) than random guessing (). And, using areverser () to apply negative weighting to the predicted labels if it is worse (anti-learnable) ().

申请人：Adam Kowalczyk,Alex Smola,Cheng Soon Ong,Olivier Chapelle

地址：Glen Waverley AU,Cartin AU,Tuebingen DE,Tubingen DE

国籍：AU,AU,DE,DE

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