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1 ♦ data
♦ data /ˈdeɪtə/n. pl.(usato come pl. o sing.) ( anche comput.) dati: raw data, dati grezzi; item of data (o data item) dato; to collect data, raccogliere dati; We cannot make a decision until more data is available, non possiamo decidere finché non saranno disponibili altri dati● data acquisition (o capture, collection), raccolta dati □ data analysis, analisi dei dati; (comput.) data bank, banca dati □ (comput.) data bit, bit d'informazione □ data book, dossier □ (comput.) data bus, bus di dati □ (comput.) data capture, acquisizione dei dati □ data centre = data-processing centre ► sotto □ data communication, trasmissione dati, telematica □ (comput., telef.) data-enabled, abilitato al traffico dati □ (comput.) data-driven, guidato dai dati □ data entry, inserimento dati □ data file, file di dati □ data flow, flusso di dati □ data glove (comput.) ► dataglove □ data input = data entry ► sopra □ data management, gestione dei dati □ (comput.) data mining, data mining (nei database, estrapolazione di informazioni mediante tecniche statistiche, di modellazione, ecc.) □ data pen, penna ottica (o luminosa) □ data processing, elaborazione dei dati; trattamento dell'informazione □ data-processing centre, centro elaborazione dati (abbr. CED) □ data processor, elaboratore di dati □ (leg.) data protection, protezione dei dati personali; tutela del privato (o del dipendente) per la riservatezza delle informazioni registrate in banche dati sul suo conto □ data rate, velocità di trasmissione dei dati □ (comput.) data reduction, riduzione di dati □ (comput.) data set, set di dati; insieme di dati □ (comput.) data transfer rate, velocità di trasferimento dati □ (comput.) data warehouse, data warehouse ( database per gestire e analizzare dati e informazioni di un'azienda).
См. также в других словарях:
Determining the number of clusters in a data set — Determining the number of clusters in a data set, a quantity often labeled k as in the k means algorithm, is a frequent problem in data clustering, and is a distinct issue from the process of actually solving the clustering problem. For a certain … 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 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 parallelism — (also known as loop level parallelism) is a form of parallelization of computing across multiple processors in parallel computing environments. Data parallelism focuses on distributing the data across different parallel computing nodes. It… … Wikipedia
Data mining in meteorology — Meteorology is the interdisciplinary scientific study of the atmosphere. It observes the changes in temperature, air pressure, moisture and wind direction. Usually, temperature, pressure, wind measurements and humidity are the variables that are… … Wikipedia
Data validation — In computer science, data validation is the process of ensuring that a program operates on clean, correct and useful data. It uses routines, often called validation rules or check routines , that check for correctness, meaningfulness, and… … 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
Data Validation and Reconciliation — Industrial process data validation and reconciliation or short data validation and reconciliation (DVR) is a technology which is using process information and mathematical methods in order to automatically correct measurements in industrial… … Wikipedia
Data analysis — Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches,… … 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 — noun ADJECTIVE ▪ accurate, reliable ▪ comprehensive, detailed, extensive ▪ limited ▪ preliminary, raw … Collocations dictionary
