Model induction from relational data requires aggregation of values ofattributes of related entities. This paper makes … needed to learn these concepts. (2) Expanding onelevel of the hierarchy, it introduces new aggregation operators thatmodel … byclass. (3) It demonstrates empirically on a noisy business domain thatmore-complex aggregation methods can increase …

still remains significant at high levels of aggregation. Because the bias rises with disaggregation, findings of …

generated by aggregation ratherthan derived from stable individual preferences. …

aggregation theory and statistical dimensional methods, we propose plausiblemethodological procedure to consistently address the … deterministic relationsare oftentimes observed among variables in high dimensional data. Aggregation methods areproposed as one … aggregated variables. Aggregation methods also arehelpful to address the issue of how to incorporate a large information set into …

that can be carried out within the framework. - Design, analysis and implementation of an aggregation-based service …

currencies position VaR estimates’ dependence on data aggregation functions (pointwise, maximum value, minimum value and average …. In the last chapter of the thesis the empirical study about Hurst index intraday value dependence on data aggregation …

currencies position VaR estimates’ dependence on data aggregation functions (pointwise, maximum value, minimum value and average …. In the last chapter of the thesis the empirical study about Hurst index intraday value dependence on data aggregation …