Ranking and Clustering Techniques to Support an Efficient E-Democracy

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.