Abstract: A method of efficiently selecting among a larger number of candidate items at least one item having a higher probability to possess a certain property is disclosed. The method includes providing at least a training dataset of true positive TP items and a training dataset of true negative TN items; selecting at least one binary descriptor; encoding each item in the TP and TN datasets into a binary vector; defining at least one virtual sensor and sensor scoring rules (SSR) therefor, nucleating at least one virtual sensor by calculating the SWS thereof; selecting at least one virtual sensor, and applying it to a query for evaluating integrated inclusive score (IIS) thereof.