{"title":"Issues and Research Challenges in Sequential Pattern Mining","authors":"Swati Nagori, Hemant Kumar Soni","doi":"10.1109/ICADEE51157.2020.9368943","DOIUrl":null,"url":null,"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.","PeriodicalId":202026,"journal":{"name":"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICADEE51157.2020.9368943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.