data structure
61Data Envelopment Analysis — (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. It is used to empirically measure productive efficiency of decision making units (or DMUs). There are also parametric approaches… …
62Data Mapping — Le data mapping est un procédé permettant de définir au niveau d un langage de programmation la correspondance entre deux modèles de données. L accès aux données se fait habituellement à travers des requêtes SQL fortement typées selon la… …
63Structure-activity relationship — Structure activity relationships (SAR) are the traditional practices of medicinal chemistry which try to modify the effect or the potency (i.e. activity) of bioactive chemical compounds by modifying their chemical structure. Medical chemists use… …
64Structure des proteines — Structure des protéines La structure des protéines est la composition en acides aminés et la conformation en trois dimensions des protéines. Elle décrit la position relative des différents atomes qui composent une protéine donnée. Les protéines… …
65Structure formation — refers to a fundamental problem in physical cosmology. The universe, as is now known from observations of the cosmic microwave background radiation, began in a hot, dense, nearly uniform state approximately 13.7 Gyr ago. [cite journal |author=D.… …
66Data profiling — is the process of examining the data available in an existing data source (e.g. a database or a file) and collecting statistics and information about that data. The purpose of these statistics may be to: Find out whether existing data can easily… …
67Data recovery — is the process of salvaging data from damaged, failed, corrupted, or inaccessible secondary storage media when it cannot be accessed normally. Often the data are being salvaged from storage media such as internal or external hard disk drives,… …
68Data architecture — in enterprise architecture is the design of data for use in defining the target state and the subsequent planning needed to achieve the target state. It is usually one of several architecture domains that form the pillars of an enterprise… …
69Data 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.… …
70Data 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 …
