Title : 
A New Algorithm for Mining Sequential Patterns
         
        
            Author : 
Zhang, Zhuo ; Zhang, Lu ; Zhong, Shaochun ; Guan, Jiwen
         
        
            Author_Institution : 
Software Technol. Res. Lab., De Montfort Univ., Leicester
         
        
        
        
        
        
        
            Abstract : 
AprioriAll and AprioriSome are very famous algorithms for mining sequential patterns, which are used to find motifs on a fixed min-support number. In this paper, we contribute a new algorithm that can find all motifs on any min-support numbers.
         
        
            Keywords : 
data mining; AprioriAll; AprioriSome; fixed min-support number; sequential pattern mining; Artificial intelligence; Data mining; Fuzzy systems; Itemsets; Laboratories; Machine learning algorithms; Relational databases; Software algorithms; TV; Transaction databases; Sequential mining; frequent pattern; itemset;
         
        
        
        
            Conference_Titel : 
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
         
        
            Conference_Location : 
Shandong
         
        
            Print_ISBN : 
978-0-7695-3305-6
         
        
        
            DOI : 
10.1109/FSKD.2008.344