A big data visualization system is comprised of a diverse set of components. Obvious components include the data set, an analytic acting on the data set, and the visualization of the data set and/or results from the analytic, with one or more of each of these components in the system. The consumer, or user, of the visualization is a less obvious component of this system, but is nonetheless crit...

This paper aims to critically reflect on the processes, agendas and use of Big Data by presenting existing issues and problems in place and consolidating our points of views presented from different angles. This paper also describes current practices of handling Big Data, including considerations of smaller scale data analysis and the use of data visualisation to improve business decisions and ...

Big Data analytics plays a key role through reducing the data size and complexity in Big Data applications. Visualization is an important approach to helping Big Data get a complete view of data and discover data values. Big Data analytics and visualization should be integrated seamlessly so that they work best in Big Data applications. Conventional data visualization methods as well as the ext...

My article presents four general kinds of model-based graphical diagnostics: 1. Displays of raw data, with a model used to simulate the reference distribution of the displays (as in Figure 1). Conversely, Figure 2 illustrates the difficulty, in general, of interpreting data displays without a comparison to a reference distribution. 2. Similar displays of tests of lower-dimensional data summarie...

This paper describes a strategy of extracting information from raw data and visualizing them in web browser. Raw data are collected from newspaper. These raw data are in English language. By implementing text mining process specific information extracted and this process explained clearly. Derived information is specifically on road accident related news but raw data contains all kind of news. ...

Interactive data visualization concerns the real time manipulation of sampled and computed data for comprehensive display. The goal of the visualization is to bring to the user a deeper understanding of the data as well as the underlying physical laws and properties. In this survey paper I focus on two problem areas relating to interactive data visualization. The rst is in data reduction and de...

Providing means for effectively accessing and exploring large textual data sets is a problem attracting the attention of text mining and information visualization experts alike. The rapid growth of the data volume and heterogeneity, as well as the richness of metadata and the dynamic nature of text repositories, add to the complexity of the task. This chapter provides an overview of data visual...

Within the framework of the information retrieval, the restitution of the documents is carried out according to their calculated relevance score. They correspond to a precise request. However questions arise as for the representation of documents and requests like their mapping. The graph is used as data visualization, without requiring mathematical knowledge. This article presents the contribu...

Interactive data visualization is inherently an iterative trial-and-error process searching for an ideal set of parameters for classifying and rendering features of interest in the data. This paper presents 3-d region growing based techniques that can assist the users to locate and define features of interest in volume data more quickly and more accurately. One technique employs partial region ...

Email remains a key source of evidence during a digital investigation. The forensics examiner may be required to triage and analyse large email data sets for evidence. Current practice utilises tools and techniques that require a manual trawl through such data, which is a timeconsuming process. Recent research has focused on speeding up analysis through the use of data visualization and the qua...