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A Comparative Study of Frequent Pattern Mining with Trajectory Data [PDF]
Sensors, 2022 Sequential pattern mining (SPM) is a major class of data mining topics with a wide range of applications. The continuity and uncertain nature of trajectory data make it distinctively different from typical transactional data, which requires additional ...
Shiting Ding +3 more
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Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval [PDF]
Entropy, 2022 Fine-grained image retrieval aims at searching relevant images among fine-grained classes given a query. The main difficulty of this task derives from the small interclass distinction and the large intraclass variance of fine-grained images, posing ...
Min Zheng, Yangliao Geng, Qingyong Li
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A pattern-growth approach for mining maximal fault-tolerant frequent itemsets [PDF]
Scientific ReportsMining fault-tolerant (FT) frequent itemsets in noisy datasets is more challenging than conventional frequent itemset mining due to the high cost of evaluating fault-tolerance conditions.
Shariq Bashir
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Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining [PDF]
BMC Bioinformatics, 2009 Background Many studies report about detection and functional characterization of cis-regulatory motifs in untranslated regions (UTRs) of mRNAs but little is known about the nature and functional role of their distribution.
Malerba Donato +5 more
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An Improving Approach for Top-Rank- Frequent Pattern Mining
Vietnam Journal of Computer Science, 2022 Mining frequent patterns (FPs) received a lot of research interest which is a fundamental problem in the field of data mining. It has been studied on many database types with various applications in intelligent systems.
Ham Nguyen
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On Aircraft Trajectory Type Recognition Based on Frequent Route Patterns [PDF]
Jisuanji kexue, 2021 With the development of global positioning and radar technology,more and more trajectory data can be collected.In particular,trajectories generated by aircrafts,ships,migratory birds are complicated and varied,and free from any constraints on the ground ...
SONG Jia-geng, ZHANG Fu-sang, JIN Bei-hong, DOU Zhu-mei
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A review on big data based parallel and distributed approaches of pattern mining
Journal of King Saud University: Computer and Information Sciences, 2022 Pattern mining is a fundamental technique of data mining to discover interesting correlations in the data set. There are several variations of pattern mining, such as frequent itemset mining, sequence mining, and high utility itemset mining. High utility
Sunil Kumar, Krishna Kumar Mohbey
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A New Fast Vertical Method for Mining Frequent Patterns [PDF]
International Journal of Computational Intelligence Systems, 2010 Vertical mining methods are very effective for mining frequent patterns and usually outperform horizontal mining methods. However, the vertical methods become ineffective since the intersection time starts to be costly when the cardinality of tidset (tid-
Zhihong Deng, Zhonghui Wang
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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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Applied Sciences, 2019 Data mining is a set of methods used to mine hidden information from data. It mainly includes frequent pattern mining, sequential pattern mining, classification, and clustering.
Chun-Cheng Lin +5 more
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