Multidimensional models are at the core of data warehouse systems, since they allow decision makers to early define the relevant information and queries that are required to satisfy their information needs. The use of aggregation functions is a cornerstone in the definition of these multidimensional queries. However, current proposals for multidimensional modeling lack the mechanisms to define ...

In responding to the guidelines established by the session chairman of this panel, three of the five topics he set forth will be discussed. These include aggregate functions and quantity questions, querying semantically complex fields, and multi-file queries. As we will make clear in the sequel, the transformational apparatus utilized in the TQA Question Answering System provides a principled b...

Following the ideas of stronger forms of monotonicity for unary real functions and for capacities, k-monotone and strongly kmonotone aggregation functions are introduced and discussed. In the special case k = 2 also some applications are given.

OWA operators, introduced by Yager, are very important non linear aggregation functions in both academic studies and a myriad of applications. In this study, we use two dimensional OWA aggregation function into pedagogical evaluation practice, which will involve the preferences and experiences of decision makers and teachers. In addition, we also introduce a long time educational evaluation mod...

T HERE have been a number of attempts to estimate the relationship between schooling and earnings of individuals, but the most common feature of these studies has been severe data limitation which, in turn, has dictated how the analysis could proceed. Perhaps the most serious restriction imposed by the data has been the assumption that earnings relationships are the same across the nation or, a...

The aim of this work is to study N−dual structures of representable implications generated from a set M of aggregation functions and pairs of mutual dual functions, founded on the isomorphism between the unit interval and special instances of the Goguen’s L-fuzzy sets. We discuss under which conditions representable functions preserve the main properties of their N−dual interval approach.

For a positive integer k, a k-subdominating function of G=(V; E) is a function f :V → {−1; 1} such that the sum of the function values, taken over closed neighborhoods of vertices, is at least one for at least k vertices of G. The sum of the function values taken over all vertices is called the aggregate of f and the minimum aggregate among all k-subdominating functions of G is the k-subdominat...

Before sharing to support ad hoc aggregate analyses, microdata often need to be anonymized to protect the privacy of individuals. A variety of privacy models have been proposed for microdata anonymization. Many of these models (e.g., -closeness) essentially require that, after anonymization, groups of sensitive attribute values follow specified distributions. To support such models, in this pap...

In-network data aggregation allows energy-efficient communication within a sensor network. However, such data aggregation introduces new security challenges. As sensor nodes are prone to node-compromise, a fraction of nodes might act maliciously and forge aggregated data. For arbitrary aggregation functions, the verification of authenticity of aggregated data, i.e., its correctness, integrity, ...

Although barrier synchronization has long been considered a useful construct for parallel programming, it has generally been either layered on top of a communication system or used as a completely independent mechanism. Instead, we propose that all communication be made a side-effect of barrier synchronization. This is done by extending the barrier synchronization unit to collect a datum from e...