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Advances in bioinformatics have provided researchers with a large influx of novel sequences, thus making the analysis of the sequences for inherent biological knowledge crucial. By using pattern discovery and pattern synthesis on protein family sequences, conserved protein segments can be represented by Aligned Pattern Clusters (APC), which is more knowledge-rich in statistical association comparing...
Sequential data mining is the process to find out the frequent sub-sequences from the given sequential dataset. Sequential pattern mining can only reveal the sequence (order) of items, but it does not determined the time interval between two successive events. Time interval sequential mining is process to find out sequential patterns with time interval between two successive events. In this paper,...
In Data mining is the task of discovery interesting patterns from large amount of dataset. There are many data mining task such as classification, hierarchal clustering. In sequence clustering find set of data item occur together in some sequence. In the sequence database has attracted a great deal of interest during recent data mining research it is basis of many application in sequence clustering...
Web usage mining is the application of data mining techniques to web log data repositories. It is used in finding the user access patterns from web access log. User page visits are sequential in nature. In this paper we presented new Rough set Dbscan clustering algorithm which identifies the behavior of the users page visits, order of occurrence of visits. Web data Clusters are formed using the rough...
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