Results 61 to 70 of about 2,962,161 (302)

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  

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

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, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

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
core   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Mining association rules for the quality improvement of the production process [PDF]

, 2013
Academics and practitioners have a common interest in the continuing development of methods and computer applications that support or perform knowledge-intensive engineering tasks.
Rigal, Fabien, Kamsu-Foguem, Bernard, Mauget, Félix   +2 more
core   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Residue feature analysis with empirical mode decomposition for mining spatial sequential patterns from serial remote sensing images

Научно-технический вестник информационных технологий, механики и оптики
An 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
doaj   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

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, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +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, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Efficient One-off Weak Gap Sequential Pattern Mining Algorithm [PDF]

Jisuanji gongcheng
Sequential 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
doaj   +1 more source