This paper describes the term Big Data in aspects of data representation and visualization. There are some specific problems in Big Data visualization, so there are definitions for these problems and a set of approaches to avoid them. Also, we make a review of existing methods for data visualization in application to Big Data and taking into account the described problems. Summarizing the result, we have provided a classification of visualization methods in application to Big Data.

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problems of discrete-continuous structure optimization is possible by means of integration of artificial intelligence technologies with methods of mathematical programming and computingretrieval procedures. Further research will be made with the purpose of increasing efficiency of the designed set of algorithms and programs, decreasing search time at preset parameters of optimization and implementation on several parallel systems or processors.

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Large numbers of moving objects and continuous queries characterize moving object environments. Efficient evaluation of these queries in response to the movement of the objects is important for supporting acceptable response times. In such environments, the traditional approaches suffer from the need for frequent updates and thereby results in poor performance. In this paper we present a novel approach for approximate query processing about the present, past, and the future in moving objects databases for objects that constrained to move on transportation networks. Our traffic management system (TMS) is a simple structure with minimum update and processing requirements; it uses the constraints on movement to reduce the update frequency and adapts the simulation skim -of cellular automation model -to simulate trajectories of vehicles on the network and served to the clients as mobile code to be run in their handheld devices. We proved the effectiveness and applicability of our technique using a realistic simulation.

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