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Data wrangling typically follows a set of general steps which begin with extracting the data in a raw form from the data source, "munging" the raw data (e.g. sorting) or parsing the data into predefined data structures, and finally depositing the resulting content into a data sink for storage and future use. [1]
Forms processing is a process by which one can capture information entered into data fields and convert it into an electronic format. This can be done manually or automatically, but the general process is that hard copy data is filled out by humans and then "captured" from their respective fields and entered into a database or other electronic format.
Data processing is the collection and manipulation of digital data to produce meaningful information. [1] Data processing is a form of information processing, which is the modification (processing) of information in any manner detectable by an observer. [note 1]
Raw data (sometimes colloquially called "sources" data or "eggy" data, the latter a reference to the data being "uncooked", that is, "unprocessed", like a raw egg) are the data input to processing. A distinction is made between data and information , to the effect that information is the end product of data processing.
Often parts of the punched card installation, in particular sorters, were retained to present the card input to the computer in a pre-sort form that reduced the processing time involved in sorting large amounts of data. [9] Data processing facilities became available to smaller organizations in the form of the computer services bureau. These ...
A data path is a collection of functional units such as arithmetic logic units (ALUs) or multipliers that perform data processing operations, registers, and buses. [1] Along with the control unit it composes the central processing unit (CPU). [1] A larger data path can be made by joining more than one data paths using multiplexers.
Semantic data mining is a subset of data mining that specifically seeks to incorporate domain knowledge, such as formal semantics, into the data mining process.Domain knowledge is the knowledge of the environment the data was processed in. Domain knowledge can have a positive influence on many aspects of data mining, such as filtering out redundant or inconsistent data during the preprocessing ...
The Unstructured Information Management Architecture (UIMA) standard provided a common framework for processing this information to extract meaning and create structured data about the information. Software that creates machine-processable structure can utilize the linguistic, auditory, and visual structure that exist in all forms of human ...