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عمومی::
دادهبرداری، اکتساب داده، دادهبرداری، جمع آوری داده، جمع آوری داده
A considerable body of both normative and descriptive literature exists on data acquisition for environmental scanning purposes (Daft et al.
An approach to data acquisition that seems to be gaining increasing acceptance is the use of "environ- mental monitors" (individuals who read and abstract a wide variety of publications, as opposed to the environmental monitoring system dis- cussed earlier) to search for changes in environmental conditions (Lenz and Engledow, 1986; Wilson, 1983).
Data Acquisition
For implementation control, data acquisition can be formalized to a comparatively high degree.،،In this regard, by definition, the data industry denotes data acquisition, data storage, data management, data processing, data mining, data analysis,17 data presentation, data product pricing, valuation, and trading.
In this regard data acquisition, data storage, and data management belong to the nonproduc- tive sub-industry, and in the productive sub-industry, data processing and data visual- ization directly produce data products while data pricing, valuation, and trading indi- rectly produce data products.
Besides data acquisition, another instrument of government is to regularly release data on changes in the national economy, social services that affect people's liveli- hoods, census results and statistical bulletins, price indexes, industrial standards, and so forth.
The systems that implement data acquisition are only part of this development; the aim is to enhance the mining of transportation data.
More specifically, in this chain there are (1) the upstream enterprises, extending toward the extremity of the information industry, that include data acquisition, data storage, and data management; (2) the midstream enter- prises that include data processing, data mining, data analysis, and data presentation; and (3) the downstream enterprises that is data product marketing including pricing, valuation, and trading.،In this regard, by definition, the data industry denotes data acquisition, data storage, data management, data processing, data mining, data analysis,17 data presentation, data product pricing, valuation, and trading.
In this regard data acquisition, data storage, and data management belong to the nonproduc- tive sub-industry, and in the productive sub-industry, data processing and data visual- ization directly produce data products while data pricing, valuation, and trading indi- rectly produce data products.
Besides data acquisition, another instrument of government is to regularly release data on changes in the national economy, social services that affect people's liveli- hoods, census results and statistical bulletins, price indexes, industrial standards, and so forth.
The systems that implement data acquisition are only part of this development; the aim is to enhance the mining of transportation data.
More specifically, in this chain there are (1) the upstream enterprises, extending toward the extremity of the information industry, that include data acquisition, data storage, and data management; (2) the midstream enter- prises that include data processing, data mining, data analysis, and data presentation; and (3) the downstream enterprises that is data product marketing including pricing, valuation, and trading.
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