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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Sequential Pattern Mining of Tourist Spatiotemporal Movement
Recoletos Multidisciplinary Research Journal, 2021 The study aimed to develop a software application to capture tourist activity information, extract movement patterns from the dataset through sequential pattern mining (SPM), and visualize spatiotemporal movement.
Maria Isabel R. Abucejo +1 more
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An Efficient Method for Mining Top-
IEEE Access, 2020 The problem of exploiting Closed Sequential Patterns (CSPs) is an essential task in data mining, with many different applications. It is used to resolve the situations of huge databases or low minimum support (minsup) thresholds in mining sequential ...
Thi-Thiet Pham +4 more
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Mining Weighted Sequential Patterns Based on Prefix-Tree and Prism Encoding
Vietnam Journal of Computer Science, 2023 The purpose of mining sequential patterns problem with weighted constraints is to find high-valued patterns, including infrequent patterns but having items which appear in the pattern of high importance in the sequence database (SD).
Thi-Thiet Pham +4 more
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Mining Top-k High Average-Utility Sequential Patterns for Resource Transformation
Applied Sciences, 2023 High-utility sequential pattern mining (HUSPM) helps researchers find all subsequences that have high utility in a quantitative sequential database. The HUSPM approach appears to be well suited for resource transformation in DIKWP graphs.
Kai Cao, Yucong Duan
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High average-utility sequential pattern mining based on uncertain databases
, 2020 emergence and proliferation of the internet of things (IoT) devices have resulted in the generation of big and uncertain data due to the varied accuracy and decay of sensors and their different sensitivity ranges.
Zhang, Ji +4 more
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Discovering Exclusive Patterns in Frequent Sequences [PDF]
, 2010 This paper presents a new concept for pattern discovery in frequent sequences with potentially interesting applications. Based on data mining, the approach aims to discover exclusive sequential patterns (ESP) by checking the relative exclusion of ...
Weiru Chen +5 more
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Efficiently Approximating Top-
IEEE Access, 2019 In real-world networks, an edge (or vertex) may be associated with a transaction database, where each transaction consists of a set of items to describe the attributes or behaviors of the edge (or vertex).
Mingtao Lei +3 more
doaj +1 more source
Uncovering Insights for New Car Recommendations with Sequence Pattern Mining on Mobile Applications
Applied Sciences, 2023 This study employs sequential pattern mining to analyze browsing behaviors and aid mobile app service providers in effectively promoting and recommending new products.
Hsiu-Wen Liu +2 more
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