Maqola

OPTIMUS Inference engine integrated in the management environments

Alfonso CapozzoliPolytechnic University of TurinVincenzo CorradoPolytechnic University of TurinHaris DoukasNational Technical University of AthensAlice GorrinoPolytechnic University of TurinLeandro MadrazoSchool of Architecture La SalleÁlvaro Sicilia

Zenodo (CERN European Organization for Nuclear Research)repository2016en

ABI

Annotatsiya

The main purpose of D3.3 is to describe the development and implementation of the inference rules based on the data that the DSS will receive as input in combination with the data mining output described in D3.2. The document describes the inference rule process, from the input data needed, to the inference rule theoretical definition, for each DSS action to be implemented.For each action, the following information is reported: the general structure and the involved variables; the indicators to be optimized; the description of the inference rule.

Mavzular

Data Mining Algorithms and Applications AI-based Problem Solving and Planning Bayesian Modeling and Causal Inference

Identifikatorlar

DOI: 10.5281/zenodo.20284159

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