BACKGROUND

Today, one uses OnLineAnalytical Processing (OLAP) queries to detect trends in massive volumes of data. They are time-consuming due to data access and complex processing and generate larger data than input.

Emergent cube IntegrableDatabasE Algorithm (IDEA) significantly reduces storage requirements and fast responses to queries thanks to pre-processing computations.

IDEA offers an extraction of trend reversals in massive databases with a data cube approach. All the pre-calculations are made, the results of OLAP queries are obtained by implementing simple and inexpensive operations.

KEY BENEFITS vs. STATE OF THE ART

DEVELOPMENT STATUS

• Available research prototype

APPLICATIONS

• Default signature detection in electronic or automativemanufacturing industries processes

• Business Intelligence

• Digital marketing