Ranking and clustering techniques to support an efficient E-democracy

Abstract:

We focus on ranking and data mining techniques to empower e-Democracy and allow the opinion of ordinary people to be considered in the design of electoral campaigns. We illustrate the quality of our approach on Venezuelan historical electoral data; ranking results are compared to ground truths produced by an independent study. Our evaluation suggests that the proposed techniques are able to identify up to 85% of the golden results by just analyzing 35% of the whole data. © 2012 Springer-Verlag.

Año de publicación:

2012

Keywords:

• Clustering
• Top-k
• e-Democracy
• Skyline

Fuente:

scopus