Results 1 to 10 of about 260,003 (282)
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.
europepmc +3 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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 ...
Ahmed, Chowdhury Farhan +4 more
openaire +6 more sources
Algorithms for Extracting Frequent Episodes in the Process of Temporal Data Mining [PDF]
Informatică economică, 2010 An important aspect in the data mining process is the discovery of patterns having a great influence on the studied problem. The purpose of this paper is to study the frequent episodes data mining through the use of parallel pattern discovery algorithms.
Alexandru PIRJAN
doaj +2 more sources
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
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Mining Frequent Sequential Patterns [PDF]
Journal of Big Data Research, 2021 In recent times, the urge to collect data and analyze it has grown. Time stamping a data set is an important part of the analysis and data mining as it can give information that is more useful. Different mining techniques have been designed for mining time-series data, sequential patterns for example seeks relationships between occurrences of ...
Rajae KRIBII, Youssef FAKIR
openaire +1 more source