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Overview of frequent pattern mining. [PDF]
Genomics Inform, 2022 Various methods of frequent pattern mining have been applied to genetic problems, specifically, to the combined association of two genotypes (a genotype pattern, or diplotype) at different DNA variants with disease. These methods have the ability to come up with a selection of genotype patterns that are more common in affected than unaffected ...
Ott J, Park T.
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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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Recursive Queried Frequent Patterns Algorithm: Determining Frequent Pattern Sets from Database
InformationFrequent pattern mining is a fundamental method for Data Mining, applicable in market basket analysis, recommendation systems, and academic analytics. Widely adopted and foundational algorithms such as Apriori and FP-Growth, which represent the standard ...
Ishtiyaq Ahmad Khan +3 more
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Data mining and diagnosis of heart diseases: a hybrid approach to the b-mine algorithm and association rules [PDF]
International Journal of Research in Industrial Engineering, 2022 Existing systems for diagnosing heart disease are time consuming, expensive, and prone to error. In this regard, a diagnostic algorithm has been proposed for the causes of heart disease based on a frequent pattern with the B-mine algorithm optimized by ...
Shookoofa Mostofi +4 more
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A New Algorithm for High Average-utility Itemset Mining [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold.
A. Soltani, M. Soltani
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Mining Negative Sequential Patterns with Periodic Gap Constraints [PDF]
Jisuanji kexue, 2023 Sequential pattern mining with gap constraints is a special form of sequential pattern mining,which can reveal frequent subsequences in a certain gap.However,the current sequential pattern mining methods with gap constraints only focus on positive ...
WANG Zhulin, WU Youxi, WANG Yuehua, LIU Jingyu
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A road accident pattern miner (RAP miner)
Journal of Information and Telecommunication, 2021 Domain-specific data service models can retrieve critical features from frequently occurring road accident patterns (RAPs). The aim of this research is to propose scan efficient association rules’ mining-based pattern analysis which provides more ...
S. M. N. Arosha Senanayake, Sisir Joshi
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Simple and Efficient Pattern Matching Algorithms for Biological Sequences
IEEE Access, 2020 The remarkable growth of biological data is a motivation to accelerate the discovery of solutions in many domains of computational bioinformatics. In different phases of the computational pipelines, pattern matching is a very practical operation.
Peyman Neamatollahi +2 more
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A Frequent Pattern Mining Method for Finding Planted Motifs of Unknown Length in DNA Sequences [PDF]
International Journal of Computational Intelligence Systems, 2011 Identification and characterization of gene regulatory binding motifs is one of the fundamental tasks toward systematically understanding the molecular mechanisms of transcriptional regulation.
Caiyan Jia, Ruqian Lu, Lusheng Chen
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Frequent Pattern Retrieval on Data Streams by using Sliding Window [PDF]
EAI Endorsed Transactions on Energy Web, 2021 In different applications like recommender frameworks and market examination, regular patterns play a significant role in useful mining data. Mining regular patterns from sliding windows over streaming information has become a complex task.
P. Kumar, P. Rao
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