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This approach also reduces data redundancy in the search for answers and thus increases efficiency of learning and reduces learning time. In a survey of researchers, data redundancy (DC) led to an important research focus in the study of DC. DC focuses on finding solutions for several problems, such as identifying the structure of a distributed system without the need to discover the structure of a data base. DC has many advantages over more traditional approaches to solving complex problems. DC can be used when a distributed system is not needed but something needs to be managed. Data redundancy can be used to give students the tools for learning the data in order to boost the understanding of the data. Data redundancy is also used for getting the correct answer from the data that is most useful for the student. This information is utilized in learning about the data and in using advanced knowledge in the design, analysis, design, and testing of the data. Distributed error mitigation refers to a technique where a system can be designed to handle every situation, and the solution can be deployed in a particular
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