Which is the correct order for the data preprocessing technique?a)Sto...
ConceptData Processing:
The data processing cycle is made up of many phases in which raw data (input) is fed into a process (CPU) to generate actionable insights (output). Each stage is performed in a specified order, although the entire process is repeated cyclically.
The data processing cycle has Collection->Preparation->Input-> Processing-> Output->
Storage. Collection:The raw data obtained has a significant influence on the result produced. As a result, raw data should be collected from defined and accurate sources in order for future conclusions to be legitimate and useable.
Preparation:Data preparation, also known as data cleaning, is the act of sorting and filtering raw data to remove the unneeded and erroneous information. Raw data is reviewed for mistakes, duplication, miscalculations, or missing data before being translated into a suitable format for further analysis and processing.
Input:The raw data is transformed into machine-readable form and sent into the processing unit in this phase.
Processing:To produce a desirable outcome, the raw data is processed to different data processing methods that employ machine learning and artificial intelligence algorithms. This phase may differ differently from one procedure to the next based on the data source being processed and the intended application of the result.
Output:Finally, the data is sent to the user in a comprehensible format, such as graphs, tables, vector files, audio, video, and papers. In the following data processing cycle, this output can be saved and subsequently processed.
Storage:
The final phase in the data processing cycle is storage, which involves storing data and information for later use. This provides for easy access to and retrieval of data whenever it is needed, as well as immediate usage as input in the next data processing cycle.
Hence the correct answer is Collection->Preparation->Input-> Processing-> Output-> Storage.