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What is processing modes?
Processing modes refer to the various methods or approaches used to handle and analyze data in computing and information systems. These modes can include batch processing, real-time processing, and interactive processing, each suited for different types of tasks and requirements. Batch processing involves executing a series of jobs without user interaction, while real-time processing handles data as it comes in to provide immediate outputs. Interactive processing allows user input and feedback during the execution of tasks.
Why was timesharing not widespread on second generation computers?
batch processing was still preferred
What electronic data prossing modes?
1)online processing 2)real-time processing 3)distributed processing 4)time-sharing 5)batch processing 6)multiprocessing 7)multitasking 8)interactive procrssing
Can there be 2 modes in a data set?
There can be two modes in a data set. For example, in the data set {0,1,2,3,3,4,5,5,9}, there are two modes: 3 and 5.
Can a set of data have two modes?
Yes, a set of data can have two modes. It is called bimodal.
What are the 2 areas of data processing?
Business data processing and Scientific data processing.
What are the categories data processing?
What are the two areas of data processing?
What is electronic data processing?
The example of electronic data processing is the use of the computer in processing data.
What are the areas of data processing?
1. business data processing 2.scientific data processing ako si jayveelim ang data processing
What is the important of data processing?
The importance of data processing is that it presents data in the desired format. The processing of data will depend on the data that is input in the system.
What ate the different between manual data processing and electronic data processing?
What are the important of electronic data processing and manual data processing? What_are_the_importants_of_electronic_data_processing_and_manual_data_processing
What are the objectives of data processing?
The objective of data processing is to convert data into knowledge. Data processing can involve sorting, validating, and summarizing data into useful information.
