Results 21 to 30 of about 2,962,161 (302)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Repetitive nonoverlapping sequential pattern mining
CoRR, 2023 Sequential pattern mining (SPM) is an important branch of knowledge discovery that aims to mine frequent sub-sequences (patterns) in a sequential database. Various SPM methods have been investigated, and most of them are classical SPM methods, since these methods only consider whether or not a given pattern occurs within a sequence.
Meng Geng +6 more
openaire +2 more sources
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
doaj +1 more source
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
core +1 more source
A pattern growth-based sequential pattern mining algorithm called prefixSuffixSpan
EAI Endorsed Transactions on Scalable Information Systems, 2017 Sequential pattern mining is an important data mining problem widely addressed by the data mining community, with a very large field of applications. The sequence pattern mining aims at extracting a set of attributes, shared across time among a large ...
Kenmogne Edith Belise +2 more
doaj +1 more source
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
core +1 more source