Title | ||
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Logical Analysis of Data as a tool for the analysis of Probabilistic Discrete Choice Behavior |
Abstract | ||
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•We use Logical Analysis of Data to study Probabilistic Discrete Choice Behavior.•New techniques to generate small sets of patterns describing complex phenomena.•The entire procedure is computationally viable even for large data-sets.•It works only at the formal level, hence is applicable to many socio-economic analyses.•Application to the important case of the analysis of digital divide in Italy. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.cor.2018.04.014 | Computers & Operations Research |
Keywords | Field | DocType |
Classification algorithms,Rule learning,Socio-economic analyses,Data analytics,Digital divide | Mathematical optimization,Discrete optimization,Logical analysis of data,Theoretical computer science,Discrete choice,Probabilistic logic,Phenomenon,Mathematics,The Internet | Journal |
Volume | ISSN | Citations |
106 | 0305-0548 | 1 |
PageRank | References | Authors |
0.35 | 20 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Renato Bruni | 1 | 127 | 15.79 |
Gianpiero Bianchi | 2 | 3 | 1.40 |
Cosimo Dolente | 3 | 1 | 0.35 |
Claudio Leporelli | 4 | 21 | 2.96 |