Results 61 to 70 of about 23,652 (302)

A related degree-based frequent pattern mining algorithm for railway fault data

High-Speed Railway
It 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, Ding Ding, Peihan Yang, Qi Zou, Yaping Huang   +4 more
doaj   +1 more source

Frailty Predicts Incident Osteoporotic Fractures in Veterans with Rheumatoid Arthritis

Arthritis Care &Research, Accepted Article.
Background/Objective Rheumatoid arthritis (RA) is associated with an increased risk of frailty and osteoporosis, but the relationship between frailty and incident osteoporotic fractures in RA is underexplored. Methods Data were from the Veterans Affairs Rheumatoid Arthritis (VARA) Registry.
Katherine D. Wysham, Hannah F. Brubeck, Aaron Baraff, Punyasha Roul, Namrata Singh, James S. Andrews, Grant W. Cannon, Gary A. Kunkel, Ted R. Mikuls, Bryant R. England, Dolores M. Shoback, Patricia P. Katz, Jose M. Garcia, Ariela R. Orkaby, Joshua F. Baker   +14 more
wiley   +1 more source

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   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 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, Xu Chen, Desheng Li, Caiquan Xiong   +3 more
openaire   +2 more sources

Enabling Far-Edge Analytics: Performance Profiling of Frequent Pattern Mining Algorithms

IEEE Access, 2017
Far-edge analytics refers to the enablement of data mining algorithms in far-edge mobile devices that are part of mobile edge cloud computing (MECC) systems.
Khubaib Amjad Alam, Rodina Ahmad, Kwangman Ko   +2 more
doaj   +1 more source

Electrochemical Evaluation of Compressed Selective Laser Melted AlSi7Mg and AlSi10Mg Alloys in Chloride Environment

Advanced Engineering Materials, EarlyView.
The corrosion performance of AlSi7Mg and AlSi10Mg alloys produced through selective laser melting (SLM) was examined under compressive stress in a chloride environment. Electrochemical analyses, including open‐circuit potential (OCP), potentiodynamic polarization (CPP), and electrochemical impedance spectroscopy (EIS), were complemented by scanning ...
Femi John Akinfolarin, Samson Dare Oguntuyi, Peter Apata Olubambi   +2 more
wiley   +1 more source

Fast Single Pbase Algoritbm for Utility Mining in Big Data

Dianxin kexue, 2015
Most of the latest works on utility mining generates a huge number of candidates in dealing with big data,which suffers from the scalability issue.Some work does not generate candidates,but suffers from the efficiency issue due to lack of strong pruning ...
Junqiang Liu, Qingfeng Zhou, Wenhui Wang, Lei Shi   +3 more
doaj   +2 more sources

A Novel Coverage Pattern Mining Method for Unordered Tree

ITM Web of Conferences, 2017
Unordered tree is widely used for semi-structured data modeling, coverage pattern mining on it has benefit for finding frequent subtrees without redundant information, so that improve the efficiency of subsequent knowledge discovering. A coverage pattern
Xia Ying, Li Hong-Xu
doaj   +1 more source