Issues and Research Challenges in Sequential Pattern Mining

被引：0

作者：

Nagori, Swati ^{[1
]}

Soni, Hemant Kumar ^{[1
]}

机构：

[1] Amity Univ Madhya Pradesh, Dept Comp Sci & Engn, Gwalior, India

来源：

PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ADVANCES AND DEVELOPMENTS IN ELECTRICAL AND ELECTRONICS ENGINEERING (ICADEE) | 2020年

关键词：

Use Sequential Pattern Mining; Substantial Data; Apriori Methods; Pattern Growth Methods; Data Mining;

D O I：

10.1109/ICADEE51157.2020.9368943

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：132 / 138

页数：7

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