NetNCSP: Nonoverlapping closed sequential pattern mining
نویسندگان
چکیده
منابع مشابه
Closed Sequential Pattern Mining in High Dimensional Sequences
High dimensional sequences, such as biological sequences, are characterized by a small number of transactions, and a large number of items in each transaction. Mining sequential patterns in the sequences need to consider different forms of patterns, such as contiguous patterns, local patterns which appear more than one time in a special sequence, and so on. Mining closed patterns might lead to ...
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In this work, we study the problem of closed sequential pattern mining. We propose a novel approach which extends a frequent sequence with closed itemsets instead of single items. The motivation is that closed sequential patterns are composed of only closed itemsets. Hence, unnecessary item extensions which generates non-closed sequential patterns can be avoided. Experimental evaluation shows t...
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Sequential pattern mining deals with data represented as sequences (a sequence contains sorted sets of items). Compared to the association rule problem, a study of such data provides “inter-transaction” analysis (Agrawal & Srikant, 1995). Applications for sequential pattern extraction are numerous and the problem definition has been slightly modified in different ways. Associated to elegant sol...
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ژورنال
عنوان ژورنال: Knowledge-Based Systems
سال: 2020
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2020.105812