Issues and Research Challenges in Sequential Pattern Mining

Swati Nagori, Hemant Kumar Soni
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引用次数: 0

Abstract

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.
顺序模式挖掘中的问题和研究挑战
数据挖掘是一种从海量数据库中识别大量数据的方法。顺序模式挖掘(SPM)是数据挖掘的一个重要方面。SPM用于发现大型数据库中发生的连续模式。它同样可以从数据库中识别连续的子序列作为示例。在当今时代,需要大量的数据积累并保存在数据库中。各行各业都致力于从这些数据库中挖掘顺序模式。SPM是一种最新的方法,研究人员发现了序列模式。本文对SPM技术进行了系统的研究。本文还对SPM进行了系统的研究,并对其技术进行了分析。讨论了序列模式挖掘的问题、研究挑战和未来趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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