Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an organisation’s communications, the exploratory phase may never finish. This paper describes a methodology for exploratory data mining within an organisational communications dataset. A model of support for knowledge disc...

Public security, as the central axis of state and citizen agenda, has been approached from different angles which phases analysis have established; rule law, crime prevention, administration justice, persecution social rehabilitation without considering participation beyond complaints or demonstrations. The objective this work was to review structure establish types self-government, government ...

Data mining has captured the hearts and minds of business analysts seeking a solution for exploring and modeling vastly larger, more complex and less well-behaved datasets. Exploratory data analysis, typically consisting of activities like statistical visualization, hypothesis generation, and introductory model fitting is a vital first step in any successful data mining venture. Exploratory dat...

The capacity of cells and organisms to respond to challenging conditions in a repeatable manner is limited by a finite repertoire of pre-evolved adaptive responses. Beyond this capacity, cells can use exploratory dynamics to cope with a much broader array of conditions. However, the process of adaptation by exploratory dynamics within the lifetime of a cell is not well understood. Here we demon...

BACKGROUND Previous research has suggested that vitamin D and sunlight are related to cardiovascular outcomes, but associations between sunlight and risk factors have not been investigated. We examined whether increased sunlight exposure was related to improved cardiovascular risk factor status. METHODS Residential histories merged with satellite, ground monitor, and model reanalysis data wer...