e-NSP: Efficient negative sequential pattern mining
نویسندگان
چکیده
منابع مشابه
e-NSP: Efficient negative sequential pattern mining
Article history: Received 13 January 2015 Received in revised form 3 March 2016 Accepted 7 March 2016 Available online xxxx
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Sequential pattern mining is a heavily researched area in the field of data mining with wide variety of applications. The task of discovering frequent sequences is challenging, because the algorithm needs to process a combinatorially explosive number of possible sequences. Most of the methods dealing with the sequential pattern mining problem are based on the approach of the traditional task of...
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Negative sequential pattern (NSP), which contains both non-occurring and occurring items, is sometimes much more informative than positive sequential pattern (PSP) in many applications and intelligent systems. To date, very limited methods are available to mine NSP due to its intrinsic complexities. Furthermore, there is not a unified definition about negative containment, i.e., how a data sequ...
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Sequential pattern mining is to discover all frequent sequences from a sequence database and has been an important issue in data mining. A lot of methods have been proposed for mining sequential pattern. However, conventional methods consider only the occurrences of itemsets in a sequence database, and the sequential patterns are referred to as positive sequential patterns. In practice, the abs...
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ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 2016
ISSN: 0004-3702
DOI: 10.1016/j.artint.2016.03.001