This study aims to compare neonatal characteristics and socioeconomic conditions in Rio de Janeiro city neighborhoods in order to identify priority areas for intervention. The study design was ecological. Two databases were used: the Brazilian Population Census and the Live Birth Information System, aggregated by neighborhoods. Spatial analysis, multivariate cluster classification, and Moran's ...

The Jaccard index is a standard statistics for comparing the pairwise similarity between data samples. This paper investigates the problem of estimating a Jaccard index matrix when there are missing observations in data samples. Starting from a Jaccard index matrix approximated from the incomplete data, our method calibrates the matrix to meet the requirement of positive semi-definiteness and o...

High-dimensional indexing has been very popularly used for performing similarity search over various data types such as multimedia (audio/image/video) databases, document collections, time-series data, sensor data and scientific databases. Because of the curse of dimensionality, it is already known that well-known data structures like kd-tree, R-tree, and M-tree suffer in their performance over...

In this paper, we propose a semantically enabled news exploration method to aid journalists in overcoming the information overload in today’s news streams. To achieve this, our approach semantically tags news articles, calculates their relatedness through their similarity based on these tags, and creates an article graph to be browsed by an end-user. Based on related work, the Jaccard metric se...

NASA launched the Earth Observing System's flagship satellite "Terra," named for Earth, on December 18, 1999. Terra has been collecting data about Earth's changing climate Normalized Difference Vegetation Index (NDVI) is a simple graphical indicator that can be used to analyze remote sensing measurements. These indexes can be used to prediction of classes of Remote Sensing (RS) images. In this ...

The similarity join is an important database primitive which has been successfully applied to speed up data mining algorithms. In the similarity join, two point sets of a multidimensional vector space are combined such that the result contains all point pairs where the distance does not exceed a parameter ε. Due to its high practical relevance, many similarity join algorithms have been devised....

Today similarity-based search is used in numerous fields of applications like e-commerce, case-based reasoning, knowledge management, or text and image retrieval. To realize a similarity-based search in ORDBMSs, concepts and mechanisms are needed calculating the similarity of a comparison instance and the stored objects. Due to extremely high cost of function calls during query processing and t...

In order to accelerate the similarity search in highdimensional database, we propose a new hierarchical indexing method. It is composed of offline and online phases. Our contribution concerns both phases. In the offline phase, after gathering the whole of the data in clusters and constructing a hierarchical index, the main originality of our contribution consists to develop a method to construc...

This paper presents new approaches for supporting string similarity matching based on a combination of techniques from the fields of information technology and computational linguistics to achieve better results regarding accuracy and efficiency. The homogenization of plain text reduces the volume of index structures and concurrently increases the quality of hit-lists. Furthermore it shows the ...

We propose new methods for finding similarities in protein structure databases. These methods extract feature vectors on triplets of SSEs (Secondary Structure Elements) of proteins. The feature vectors are then indexed using a multidimensional index structure. Our first technique considers the problem of finding proteins similar to a given query protein in a protein dataset. It quickly finds pr...