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OPTIMIZED ALGORITHMS FOR DATA ANALYSIS IN PARALLEL DATABASE SYSTEMS
Large data sets are generally stored on disk following an organization as rows, columns or arrays, with row storage being the most common. On the other hand, matrix multiplication is frequently found in machine learning ...
Optimizing Bayesian methods for high dimensional data sets on array-based parallel database systems
In this work we solve the problem of variable selection for linear regression on large data sets stored in Database Management Systems (DBMS), under the Bayesian approach. This is a challenging problem due to data sets ...