Results 1 to 10 of about 431 (114)
Overview of frequent pattern mining
Genomics & Informatics, 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, Jurg, Park, Taesung
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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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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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Reframing in Frequent Pattern Mining [PDF]
2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI), 2015 Mining frequent patterns is a crucial task in data mining. Most of the existing frequent pattern mining methods find the complete set of frequent patterns from a given dataset. However, in real-life scenarios we often need to predict the future frequent patterns for different tasks such as business policy making, web page recommendation, stock-market ...
Chowdhury Farhan Ahmed +4 more
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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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Mining frequent patterns in process models [PDF]
Information Sciences, 2019 Process mining has emerged as a way to analyze the behavior of an organization by extracting knowledge from event logs and by offering techniques to discover, monitor and enhance real processes. In the discovery of process models, retrieving a complex one, i.e., a hardly readable process model, can hinder the extraction of information.
David Chapela-Campa +2 more
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COMPARATIVE ANALYSIS OF HUMAN INTERACTION PATTERN MINING APPROACHES [PDF]
ICTACT Journal on Soft Computing, 2020 Opinion Mining and Sentiment Analysis in Natural Language Processing (NLP) are challenging, as they require deep understanding. Understanding involves methods that could differentiate between the facts of explicit and implicit, regular and irregular ...
S Uma, J Suguna
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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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