Abstract
Data processing (DP) refers to the extraction of information through organizing, indexing, and manipulating data. Information here means valuable relationships and patterns that can help solve problems of interest. In history, the capability and efficiency of DP have been improving with the advancement of technology. Processing involving intensive human labor has been gradually replaced by machines and computers. The methods of DP refer to the techniques and algorithms used for extracting information from data. For example, processing of facial recognition data needs classification, and processing of climate data requires time series analysis. The results of DP, i.e., the information extracted, also depend largely on data quality. Data quality problems like missing values and duplications can be solved through various methods, but some systematic issues like equipment design error and data...;
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Encyclopedia of Big Data
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