Results 11 to 20 of about 2,962,161 (302)
Efficient Chain Structure for High-Utility Sequential Pattern Mining [PDF]
IEEE Access, 2020 High-utility sequential pattern mining (HUSPM) is an emerging topic in data mining, which considers both utility and sequence factors to derive the set of high-utility sequential patterns (HUSPs) from the quantitative databases.
Jerry Chun-Wei Lin +4 more
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Sequential Pattern Mining [PDF]
, 2005 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 ...
Maguelonne Teisseire +2 more
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Sequential pattern mining using IDLists
, 2020 Sequential pattern mining is a practical problem whose objective is to discover helpful informative patterns in a stored database such as market transaction databases. It covers many applications in different areas.
Vo, Bay +4 more
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Mining Conjunctive Sequential Patterns [PDF]
Data Mining and Knowledge Discovery, 2008 In this paper we aim at extending the non-derivable condensed representation in frequent itemset mining to sequential pattern mining. We start by showing a negative example: in the context of frequent sequences, the notion of non-derivability is meaningless. Therefore, we extend our focus to the mining of conjunctions of sequences.
Chedy Raïssi +2 more
openaire +5 more sources
Discovering Sequential Source Code Patterns in Software Engineering
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2022 Discovering sequential patterns in source codes is an important issue in software engineering since it can provide useful knowledge to help in a variety of tasks such as code completion, code refactoring, developer profiling, and code complexity ...
Kökten Birant, Dilara Kırnapcı
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Dichotomic Pattern Mining Integrated With Constraint Reasoning for Digital Behavior Analysis
Frontiers in Artificial Intelligence, 2022 Sequential pattern mining remains a challenging task due to the large number of redundant candidate patterns and the exponential search space. In addition, further analysis is still required to map extracted patterns to different outcomes. In this paper,
Sohom Ghosh +5 more
doaj +1 more source
Contextual Sequential Pattern Mining [PDF]
2010 IEEE International Conference on Data Mining Workshops, 2010 Traditional sequential patterns do not take into account additional contextual information since patterns extracted from data are usually general. By considering the fact that a pattern is associated with one specific context the decision expert can then adapt his strategy considering the type of customers. In this paper we propose to mine more precise
Rabatel, Julien +2 more
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Dramatically Reducing Search for High Utility Sequential Patterns by Maintaining Candidate Lists
Information, 2020 A ubiquitous challenge throughout all areas of data mining, particularly in the mining of frequent patterns in large databases, is centered on the necessity to reduce the time and space required to perform the search.
Scott Buffett
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Mining Sequential Patterns with VC-Dimension and Rademacher Complexity
Algorithms, 2020 Sequential pattern mining is a fundamental data mining task with application in several domains. We study two variants of this task—the first is the extraction of frequent sequential patterns, whose frequency in a dataset of sequential transactions is ...
Diego Santoro +2 more
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Mining of high utility-probability sequential patterns from uncertain databases. [PDF]
PLoS ONE, 2017 High-utility sequential pattern mining (HUSPM) has become an important issue in the field of data mining. Several HUSPM algorithms have been designed to mine high-utility sequential patterns (HUPSPs).
Binbin Zhang +3 more
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