2023
DOI: 10.1111/exsy.13454
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Convolutional neural networks applied to data organized as OLAP cubes

Rodrigo Ribeiro Caputo,
Edimilson Batista dos Santos,
Leonardo Chaves Dutra da Rocha

Abstract: This paper presents a Convolutional Neural Network (CNN) architecture named OlapNet, which incorporates implicit operations of OLAP cubes (or data cubes). OLAP cubes are produced from database tables or spreadsheets and they allow particular operations that support performing complex queries efficiently. OlapNet permits evaluating various combinations of these OLAP operations in its search space and thus, it enables, in part, to automate the data transformation step in the knowledge discovery process. A sample… Show more

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