data selection

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• 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

• Selection bias — is a statistical bias in which there is an error in choosing the individuals or groups to take part in a scientific study.[1] It is sometimes referred to as the selection effect. The term selection bias most often refers to the distortion of a… …   Wikipedia

• Data driven journalism — is a journalistic process based on analyzing and filtering large data sets for the purpose of creating a new story. Data driven journalism deals with open data that is freely available online and analyzed with open source tools.[1] Data driven… …   Wikipedia

• Data center bridging — (DCB) refers to a set of enhancements to Ethernet local area networks for use in data center environments. Specifically, DCB goals are, for selected traffic, to eliminate loss due to queue overflow and to be able to allocate bandwidth on links.… …   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

• Data stream mining — is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read only once or a small number of times using… …   Wikipedia

• Data mapping — Data transformation/Source transformation Concepts metadata · data mapping data transformation · model transf …   Wikipedia

• Data's Day — Star Trek: The Next Generation episode Dr. Crusher teaches Data tap dancing. Episode no …   Wikipedia

• Data Pre-processing — is an often neglected but important step in the data mining process. The phrase Garbage In, Garbage Out is particularly applicable to data mining and machine learning projects. Data gathering methods are often loosely controlled, resulting in out …   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 envelopment analysis — (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers[clarification needed]. It is used to empirically measure productive efficiency of decision making units (or DMUs). Non parametric… …   Wikipedia