Results 61 to 70 of about 3,318,937 (295)
A related degree-based frequent pattern mining algorithm for railway fault data
High-Speed RailwayIt is of great significance to improve the efficiency of railway production and operation by realizing the fault knowledge association through the efficient data mining algorithm.
Jiaxu Guo +4 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Frequent Pattern Mining Analytics
, 2022 This dissertation research focuses on frequent pattern mining on static and stream data. Frequent Patterns are the patterns that appear frequently in a data set.
Lin, Xika
core +3 more sources
Mining frequent patterns with differential privacy [PDF]
Proceedings of the VLDB Endowment, 2013 The mining of frequent patterns is a fundamental component in many data mining tasks. A considerable amount of research on this problem has led to a wide series of efficient and scalable algorithms for mining frequent patterns. However, releasing these patterns is posing concerns on the privacy of the users participating in the data.
Luca Bonomi, Li Xiong
openaire +2 more sources
Frequent pattern mining on XML documents [PDF]
, 2008 With the emergence of XML standardization, XML documents have been widely used and accepted in almost all the major industries. As a result of the widespread usage, it has been considered essential to not only store these XML documents but also to mine ...
Kutty, Sangeetha, Nayak, Richi
core +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
Advanced Engineering Materials, EarlyView.A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
An Efficient Parallel Mining Algorithm Representative Pattern Set of Large-Scale Itemsets in IoT
IEEE Access, 2018 With the advent of the age of big data, people can collect rich and diverse data from a wide variety of collection devices, such as those of the Internet of Things. Knowledge hidden in large data is very useful and valuable. Frequent pattern mining, as a
Zhang Tianrui, Wei Mingqi, Liu Bin
doaj +1 more source
Frequent Patterns Mining in DNA Sequence [PDF]
IEEE Access, 2019 As a common biological sequence, DNA sequences contain important information. The discovery of frequent patterns in DNA sequences can help to study the evolution, function and variation of genes. The findings are of great significance to genetic and mutation analysis, analysis of disease causes and treatment of diseases. Traditional methods of frequent
Na Deng +3 more
openaire +2 more sources
Scaling up Pattern Induction for Web Relation Extraction through Frequent Itemset Mining [PDF]
, 2008 Blohm S, Cimiano P. Scaling up Pattern Induction for Web Relation Extraction through Frequent Itemset Mining. In: Adrian B, Neumann G, Troussov A, Popov B, eds.
Troussov, Alexander +5 more
core
Advanced Engineering Materials, EarlyView.Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic +2 more
wiley +1 more source