data level

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• Data binning — is a data pre processing technique used to reduce the effects of minor observation errors. The original data values which fall in a given small interval, a bin, are replaced by a value representative of that interval, often the central value. It… …   Wikipedia

• Data fusion — Data fusion, is generally defined as the use of techniques that combine data from multiple sources and gather that information into discrete, actionable items in order to achieve inferences, which will be more efficient and narrowly tailored than …   Wikipedia

• Data independence — is the type of data transparency that matters for a centralized DBMS. It refers to the immunity of user applications to make changes in the definition and organization of data. Physical data independence deals with hiding the details of the… …   Wikipedia

• Data logger — Cube storing technical and sensor data A data logger (also datalogger or data recorder) is an electronic device that records data over time or in relation to location either with a built in instrument or sensor or via external instruments and… …   Wikipedia

• Data Center Ethernet — (also known as Converged Enhanced Ethernet) describes an enhanced Ethernet that will enable convergence of various applications in data centers (LAN, SAN, and HPC) onto a single interconnect technology.Today data centers deploy different networks …   Wikipedia

• Data Intensive Computing — is a class of parallel computing applications which use a data parallel approach to processing large volumes of data typically terabytes or petabytes in size and typically referred to as Big Data. Computing applications which devote most of their …   Wikipedia

• Data flow diagram — example.[1] A data flow diagram (DFD) is a graphical representation of the flow of data through an information system, modelling its process aspects. Often they are a preliminary step used to create an overview of the system which can later be… …   Wikipedia

• Data, context and interaction — (DCI) is a paradigm used in computer software to program systems of communicating objects. Its goals are: To improve the readability of object oriented code by giving system behavior first class status; To cleanly separate code for rapidly… …   Wikipedia

• Data warehouse — Overview In computing, a data warehouse (DW) is a database used for reporting and analysis. The data stored in the warehouse is uploaded from the operational systems. The data may pass through an operational data store for additional operations… …   Wikipedia

• Data-centric programming language — defines a category of programming languages where the primary function is the management and manipulation of data. A data centric programming language includes built in processing primitives for accessing data stored in sets, tables, lists, and… …   Wikipedia

• Data dredging — (data fishing, data snooping) is the inappropriate (sometimes deliberately so) use of data mining to uncover misleading relationships in data. Data snooping bias is a form of statistical bias that arises from this misuse of statistics. Any… …   Wikipedia