A Survey on Sequential Pattern Mining Algorithm for Web Log Pattern Data

摘要

Thousands of database is available online, to predicting the nature of data and an accessing data from knowledge we need some techniques. If we filter all these data manually, it may takes hours to many days. So that we required some methods to access or retrieve that data for which data mining is used. Mine that meaningful data and to access that mined data, there are several methods available and among them sequential pattern mining is used. Sequential pattern mining is most challenging task in data mining, as manual process can takes lots of timing in mining. In the process of mining of data produces various patterns from data sources. Sequential pattern mining discovering frequent sequential pattern which satisfy the user constraints to give accurate and meaningful information. It is used in various application such as natural disaster, Selling analysis, marketing strategy, shopping analysis, medical analysis, DNA sequences and web log data analysis. Sequential Pattern Mining applying method of data mining to web data to extract the user behaviours. As currently many websites experienced thousands to millions customers visit every day, analysis of who browsed what and give details of the important insight in to the existing visitors details. This will help to analyse the web data to predict certain behaviours.