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data collection framework

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  • Data governance — is an emerging discipline with an evolving definition. The discipline embodies a convergence of data quality, data management, data policies, business process management, and risk management surrounding the handling of data in an organization.… …   Wikipedia

  • Data mining — Not to be confused with analytics, information extraction, or data analysis. Data mining (the analysis step of the knowledge discovery in databases process,[1] or KDD), a relatively young and interdisciplinary field of computer science[2][3] is… …   Wikipedia

  • Framework for Privacy Analysis of Programs, Technologies, and Applications — The Framework for Privacy Analysis of Programs, Technologies, and Applications is a framework developed by the Department of Homeland Security Data Privacy and Integrity Advisory Committee and issued as report 2006 01 on March 7, 2006.… …   Wikipedia

  • Data cleansing — Not to be confused with Sanitization (classified information). Data cleansing, data cleaning, or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database. Used… …   Wikipedia

  • Data Analysis Techniques for Fraud Detection — Fraud is a million dollar business and it is increasing every year. The PwC global economic crime survey of 2009 suggests that close to 30% of companies worldwide reported fallen victim to fraud in the past year[1] Fraud involves one or more… …   Wikipedia

  • data — n.pl. (also treated as sing., as in that is all the data we have, although the singular form is strictly datum) 1 known facts or things used as a basis for inference or reckoning. 2 quantities or characters operated on by a computer etc. Phrases… …   Useful english dictionary

  • Data element — In metadata, the term data element is an atomic unit of data that has precise meaning or precise semantics. A data element has: An identification such as a data element name A clear data element definition One or more representation terms… …   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 integration — involves combining data residing in different sources and providing users with a unified view of these data.[1] This process becomes significant in a variety of situations, which include both commercial (when two similar companies need to merge… …   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

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