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D.C.Ms capture data. these are normaly inside thinner devices and can colect data, even through viruses. there is 2 levels. sharp and sting. sharp is faster but expencive.

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11y ago

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Where can you study data capturing?

You can study data capturing through various educational platforms, including universities offering degrees in data science, information technology, or statistics. Online courses on platforms like Coursera, edX, and Udacity also provide specialized training in data capturing techniques and tools. Additionally, bootcamps focused on data analytics or data engineering can provide hands-on experience in data collection and management.


What is the purpose of capturing data?

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What are the sensor data capturing in expert system?

In an expert system the sensor is capturing raw data. This data is used to analyze, examine, organize, and secure data for reporting and visualization.


What is data capturing?

Getting the information into a structure in which it can be processed by the computer is called DATA CAPTURE.(By the way the information i gave you came from my computer book not from me, ok)


What is sensor data capturing?

It is the process of collecting,organizing and accessing data with the help of computer sensors.


Examples of data processing operation?

There are different data processing operations include capturing, transmitting, and storing data. Other operations are manipulating, retrieving, and displaying data.


Techniques used to summarize organize and present data that have been collected are called?

Data Gathering and Representation Techniques


In banking what is the full form of edc machine?

I think it is electronic data capturing machine


What is capturing and storing and updating and retrieving data and information?

Capturing involves collecting data, while storing involves saving it in a usable format. Updating means making changes to the stored data, and retrieving means accessing the information when needed. Together, these actions help manage and utilize data efficiently.


What are some examples of data mining techniques?

Although there are a number of data mining techniques there are three that are most commonly used. These common techniques include decision trees, artificial neutral networks and the nearest-neighbour method. These techniques each analyze data in different ways.


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What first identified capturing data at the point of care as a key criterion for an EHR?

HIPAA