Aggregation plays an important role in data warehousing and has received much attention to date. However, existing techniques do not suuciently address the issue of making the computation of multidimensional aggregates scale with increasing dimensionality. At the same time the beneet of taking full advantage of the hard disk geometry is often overlooked. This paper presents the Multiresolution ...

A recent literature on inequality of opportunity offers quantitative tools for comparisons and measurement based on stochastic dominance criteria and traditional inequality indices. In this paper I suggest an additional way of assessing inequality of opportunity with two indices of dissimilarity across distributions. The indices are based on a traditional homogeneity test of multinomial distrib...

Individual well-being is inherently a multidimensional concept. Any attempt to measure inequality of well-being should take this multidimensionality explicitly into account. In this paper we propose to measure well-being inequality by a multidimensional generalization of the Gini coe¢ cient. We follow a normative procedure and derive two Gini indices of well-being inequality from their underlyi...

BACKGROUND The BODE index was recently validated as a multidimensional tool for the evaluation of patients with COPD. The influence of gender on the BODE index has not been studied. HYPOTHESIS The contribution of each component of the disease to the BODE index may differ according to gender. METHODS We evaluated age, forced expiratory volume in one second (FEV1), Modified Medical Research C...

Recently there has been an increasing interest in supporting bulk operations on multidimensional index structures. Bulk loading refers to the process of creating an initial index structure for a presumably very large data set. In this paper, we present a generic algorithm for bulk loading which is applicable to a broad class of index structures. Our approach differs completely from previous one...

This work introduces decentralized query processing techniques based on MIDAS, a novel distributed multidimensional index. In particular, MIDAS implements a distributed k-d tree, where leaves correspond to peers, and internal nodes dictate message routing. MIDAS requires that peers maintain little network information, and features mechanisms that support fault tolerance and load balancing. The ...

The indexing techniques in multidimensional databases are becoming more and more important. The data warehouse environment has become a popular technology and a lot of research work has been done in order to improve the query performance and to provide faster response times. The ability to answer these queries e fficiently is a critical issue since most of them are complex and iterative. In thi...

ÐCurrent data repositories include a variety of data types, including audio, images, and time series. State-of-the-art techniques for indexing such data and doing query processing rely on a transformation of data elements into points in a multidimensional feature space. Indexing and query processing then take place in the feature space. In this paper, we study algorithms for finding relationshi...

Background and aims: Fatigue is associated with longitudinal ratings of health in patients with chronic obstructive pulmonary disease (COPD). Although the degree of airflow obstruction is often used to grade disease severity in patients with COPD, multidimensional grading systems have recently been developed. The aim of this study was to investigate the relationship between perceived and actual...

Background: Health is an essential component of human rights and the rights are interdependent, indivisible, and correlated. The present study aimed at codifying a multidimensional health index according to multistage index development and describing the status of this index in 22 municipal districts of Tehran. Methods: This study was conducted using the data collected in the second round of Ur...