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- этимология
Data diddling - перевод на испанский
ALTERATION OF INPUT IN A COMPUTER SYSTEM, OFTEN FOR FRAUD
Data diddling
Falsificación de datos
data cleaning
PROCESS OF DETECTING AND CORRECTING (OR REMOVING) CORRUPT, INACCURATE OR UNWANTED RECORDS FROM A RECORD SET
Data cleaning; Data Cleaning; User:Aceldam/Cleansing and Conforming Data; Cleansing and conforming data; Statistical data editing; Cleansing and Conforming Data
(n.) = limpieza de datos, depuración de datos
Ex: This paper describes ways in which standards for clinical research can help with the activities of data management, data cleaning, and statistical analysis.
Ex: This paper describes ways in which standards for clinical research can help with the activities of data management, data cleaning, and statistical analysis.
inline image
WEB PAGE IN-LINE DATA SCHEME
Data:; Data: URL; Data URL; Data Url; Data URI; Data Uri; Data: URI; Inline image; Data: uri scheme; Data: URI scheme; Data urls; Data://; Data URIs; Data-URI
expression
imagen f integrada
imagen f integrada
Определение
inline image
<World-Wide Web> An image that appears within the body of a
web page. Most graphical web browsers can display both
GIF and JPG images inline. The web browser may give the
user an option to turn off inline images, to speed up the
display of web pages.
Other image formats may have to be displayed in a separate
window and/or by another application program.
An inline image in a web page is achieved with the <IMG>
HTML tag, which can take many attributes. The SRC
attribute gives the URL from which to fetch the image and
the ALT attribute gives text to display in place of the image
for users with images disabled or who are using text-only
browsers or text-to-speech convertors (e.g. blind users).
(1999-10-27)
Википедия
Data diddling
Data diddling is a type of cybercrime in which data is altered as it is entered into a computer system, most often by a data entry clerk or a computer virus. Computerized processing of the altered data results in a fraudulent benefit. In some cases, the altered data is changed back after processing to conceal the activity. The results can be huge. They might include adjusting financial figures up or down marginally, or it could be more complex and make an entire system unusable.
