Results 61 to 70 of about 14,528 (304)
A Comparative Study of Frequent Pattern Mining with Trajectory Data
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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A study of distributed sequential pattern mining method based on MapReduce programming model
, 2017 碩士循序樣式探勘是在巨量循序資料庫中用來取得頻繁循序樣式的一種資料探勘方法，常見的循序資料探勘方法可以分為兩大類，候選樣式產生與樣式成長方法，這些演算法主要執行於單機的環境，便會造成一些缺點，像是對於巨量資料的掃描時間、可擴展性的問題、對於巨量資料及的效率較低。為了增進循序資料探勘的性能，並且改善可擴展性的問題，本研究提出了以Hadoop平台與MapReduce軟體架構為基礎的循序資料探勘方法。 探勘任務被分解為許多分散式任務，Map方法用來挖掘資料集中的所有循序樣式 ...
陳智翔;Chen, Jhih-Siang
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MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
On the use of the Rademacher complexity in mining sequential patterns [PDF]
, 2022 A sequential pattern is a sequence of sets of items. Mining sequential patterns from very large datasets is a fundamental problem in data mining. This thesis formally proves the first rigorous and efficiently computable bound on the Rademacher complexity
Santoro, Diego
core
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 +2 more
wiley +1 more source
Научно-технический вестник информационных технологий, механики и оптикиAn extensive growth of serial remote sensing images paves the way for abundant data intended for the sequential spatial pattern determination in several fields like monitoring of agriculture, development of urban areas, and the vegetative area.
R. A. Preethi, G. Anandharaj
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Advanced Engineering Materials, EarlyView.This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira +4 more
wiley +1 more source
Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys
Advanced Engineering Materials, EarlyView.This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa +9 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Efficient One-off Weak Gap Sequential Pattern Mining Algorithm [PDF]
Jisuanji gongchengSequential Pattern Mining(SPM) with gap constraint, as an important branch of sequential pattern mining, can discover the repetitive occurrences of patterns in sequences.
Hongxi YANG, Youxi WU, Meng GENG, Jingyu LIU, Yan LI
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