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Issues and Research Challenges in Sequential Pattern Mining

机译:连续模式挖掘中的问题和研究挑战

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The Mining of data is the way to recognize the substantial data from huge databases. Sequential Pattern Mining (SPM), is one of the important aspect of data mining. The SPM is utilized in discovering the consecutive patterns which takes place in huge databases. It likewise recognizes the incessant subsequences as examples from a database. In today's era, an enormous data is required to be accumulated and get saved in the databases. Various industries are focusing towards mining sequential patterns from these databases. SPM is a very latest approach, in which the researchers uncover the sequential patterns. This following paper gives a methodical study on techniques of SPM. Also, this paper provides an organized study on SPM along with the analysis of their techniques. It also deals with the sequential pattern mining problems, research challenges and future trends of SPM.
机译:数据挖掘是识别来自庞大数据库的大量数据的方法。顺序模式挖掘(SPM)是数据挖掘的重要方面之一。 SPM用于发现在庞大的数据库中进行的连续模式。它同样识别不相关的子序列作为数据库的示例。在今天的时代,需要巨大的数据累积并保存在数据库中。各种行业专注于从这些数据库中挖掘连续模式。 SPM是一种非常最新的方法,研究人员揭示了顺序模式。下文提出了一种关于SPM技术的方法研究。此外,本文提供了对SPM的有组织的研究以及它们的技术分析。它还涉及顺序模式挖掘问题,研究挑战和SPM的未来趋势。

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