1. A method comprising steps of: extracting first meta-attributes based on a first data set of entries and first attributes of said first data set of entries; extracting second meta-attributes based on a second data set of entries and a second attributes of said first data set of entries; generating a first projection of the first data set of entries onto said first meta-attributes; generating a second projection of the second data set of entries onto said second meta-attributes; based on said first projection, said second projection, and data representing a relationship between said first data set of entries and said second data set of entries, generating data representing a relationship between said first meta-attributes and said second meta-attributes; generating data representing a relationship between a third data set of entries and a fourth data set of entries, wherein generating data representing a relationship between a third data set of entries and a fourth data set of entries is based on: a third projection of said third data set of entries onto the first meta-attributes, a fourth projection of said fourth data set of entries onto the second meta-attributes, and said data representing said relationship between said first meta-attributes and second meta-attributes; and wherein the method is executed by one or more computing devices.
1. A method comprising steps of: extracting first meta-attributes based on a first data set of entries and first attributes of said first data set of entries; extracting second meta-attributes based on a second data set of entries and a second attributes of said first data set of entries; generating a first projection of the first data set of entries onto said first meta-attributes; generating a second projection of the second data set of entries onto said second meta-attributes; based on said first projection, said second projection, and data representing a relationship between said first data set of entries and said second data set of entries, generating data representing a relationship between said first meta-attributes and said second meta-attributes; generating data representing a relationship between a third data set of entries and a fourth data set of entries, wherein generating data representing a relationship between a third data set of entries and a fourth data set of entries is based on: a third projection of said third data set of entries onto the first meta-attributes, a fourth projection of said fourth data set of entries onto the second meta-attributes, and said data representing said relationship between said first meta-attributes and second meta-attributes; and wherein the method is executed by one or more computing devices. 4. The method of claim 1 , wherein at least one of generating a first projection and one of generating a second projection is performed using Principal Components Analysis, Independent Components Analysis, Matrix Decompositions, Vector Quantization, Non-Negative Matrix Factorization, or k-means clustering, self-organizing maps clustering, or other clustering methods that provide a soft-clustering or probabilistic output.