Reference list of 265 sources used for the discovery of relationships between data clusters and metadata properties

Visual cluster analysis provides valuable tools that help analysts to understand large data sets in terms of representative clusters and relationships thereof. Often, the found clusters are to be understood in context of belonging categorical, numerical or textual metadata which are given for the data elements. While often not part of the clustering process, such metadata play an important role and need to be considered during the interactive cluster exploration process. Traditionally, linked-views allow to relate (or loosely speaking: correlate) clusters with metadata or other properties of the underlying cluster data. Manually inspecting the distribution of metadata for each cluster in a linked-view approach is tedious, specially for large data sets, where a large search problem arises. Fully interactive search for potentially useful or interesting cluster to metadata relationships may constitute a cumbersome and long process. To remedy this problem, we propose a novel approach for guiding users in discovering interesting relationships between clusters and associated metadata. Its goal is to guide the analyst through the potentially huge search space. We focus in our work on metadata of categorical type, which can be summarized for a cluster in form of a histogram. We start from a given visual cluster representation, and compute certain measures of interestingness defined on the distribution of metadata categories for the clusters. These measures are used to automatically score and rank the clusters for potential interestingness regarding the distribution of categorical metadata. Identified interesting relationships are highlighted in the visual cluster representation for easy inspection by the user. We present a system implementing an encompassing, yet extensible, set of interestingness scores for categorical metadata, which can also be extended to numerical metadata. Appropriate visual representations are provided for showing the visual correlations, as well as the calculated ranking scores. Focusing on clusters of time series data, we test our approach on a large real-world data set of time-oriented scientific research data, demonstrating how specific interesting views are automatically identified, supporting the analyst discovering interesting and visually understandable relationships.

The Provenance and Geochemical Alteration of Bermudan Eolianites

Large calcareous eolianites cover the remote island of Bermuda, accounting for more than 90% of the limestone bedrock. This study examines the sedimentology and geochemistry of these eolianites to better understand Pleistocene oceanography and the meteoric alteration of subtropical carbonate sediments. Cluster analyses reveal that the eolian carbonate sediments fall into two natural groups that represent lagoonal and reefal end members of marine sediment production. Coral fragments are uncharacteristically absent, possibly destroyed prior to their incorporation into eolian deposits by endolithic microboring organisms or broken up during transport. Sediment assemblages lead to the following interpretations of the Bermudan offshore environment: (1) the Ledge Flats reef system along the southwestern coast has been active since MIS 11, contributing coralline algal-rich sediment to the northern beaches of Sandy’s Parish and acting as an energy barrier in the south, allowing for low energy sedimentation in the quiet back- reef region; (2) on the northeastern coast, the low energy back-reef region landward of the Ledge Flats has thrived since MIS 11; (3) during MIS 5e, slightly warmer water temperatures led to the hindrance of coralline algal growth along the southern coast and in the North Lagoon. These are the first interpretations of Pleistocene marine assemblages on Bermuda. Meteoric fluids progressively transformed the pristine carbonate sediments into hardened limestones in a predictable solubility-dependent manner. The progressive alteration is coincident with: (1) divergence of δ18O and δ13C values from those similar to unaltered sediment towards those of calcrete, due to interaction with CO2-charged meteoric fluids; (2) depletion of elements with low partitioning coefficients and low meteoric concentrations, such as barium, boron, magnesium, potassium, sodium, strontium, and uranium; (3) enrichment of iron from Terra Rossa-hosted iron oxides; (4) enrichment of aluminum via detrital minerals sourced from protosol horizons; and (5) manganese concentrations that remain uncharacteristically low, owing to the lack of a consistent manganese source. Elemental correlations are useful for characterizing meteoric diagenesis, assuming the primary mineralogy is recognized, all components have been fully altered, and inter-particle cements are ubiquitous.

Health reforms in Latin America: processes and results

Two types of health reforms in Latin America are analysed: one based on insurance and service commodification and the one referred to the unified public systems of progressive governments. Health insurance with explicit service packages has not fulfilled their purposes of universal coverage, equal access to necessary health services and improvement of health conditions but has opened health as a field of profit making for insurance companies and private health providers. The national health services as a state obligation have developed territorialized health services and widened substantially timely access to the majority of the population. The adoption of an integrated and wide social policy has an impact on population well fare. It faces some problems derived from the old health systems and the power of the insurance and medical complex.