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Challenges of Big Data to Big Data Mining with their Processing Framework

机译:大数据处理框架对大数据挖掘的挑战

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Big data is an emerging trend and need of industries, sciences, and engineering area because all areas are having a lot of data and these data have given a result for a particular problem. This result is very helpful for taking a decision for growing to own area and this decision is taken by big data analysis and big data mining process. When any organization is performing big data mining process then it faces a lot of challenges and these challenges have given a lot of risks to take a decision. This paper presents big data and data mining concept with big data mining challenges which are related to data, process, and management. Data challenges are related to big data, Process challenges are related to data mining and Management challenges are related to the common factor of big data and data mining. In the last section, this paper proposed a conceptual big data mining process framework which is helpful for handling challenges and design big data mining algorithm.
机译:大数据是工业,科学和工程领域的新兴趋势和需求,因为所有领域都有大量数据,而这些数据已经为特定问题提供了结果。这个结果对于决定如何扩大到自己的区域非常有帮助,这个决定是通过大数据分析和大数据挖掘过程来做出的。任何组织在执行大数据挖掘过程时都会面临很多挑战,而这些挑战给做出决策带来了很大的风险。本文提出了大数据和数据挖掘概念,并提出了与数据,流程和管理相关的大数据挖掘挑战。数据挑战与大数据有关,流程挑战与数据挖掘有关,管理挑战与大数据和数据挖掘的共同因素有关。在最后一部分中,本文提出了一个概念性的大数据挖掘过程框架,该框架有助于应对挑战并设计大数据挖掘算法。

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