Results 141 to 150 of about 110,266 (316)
A multi-threaded approach to genotype pattern mining for detecting digenic disease genes. [PDF]
Front Genet, 2023 Zhang Q, Bhatia M, Park T, Ott J.
europepmc +1 more source
Advanced Science, EarlyView.Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska +14 more
wiley +1 more source
Progression to myocardial infarction short-term death based on interval sequential pattern mining. [PDF]
BMC Cardiovasc Disord, 2023 Wu YS +4 more
europepmc +1 more source
Mining spatiotemporally invariant patterns
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022 Colomba,Luca, Cagliero,Luca, Garza,Paolo
openaire +2 more sources
Phase Diagrams and Piezoelectric Properties of Wurtzite Al1−x−yScxGdyN Heterostructural Alloys
Advanced Science, EarlyView.This study demonstrates ferroelectricity and piezoelectric properties improvement of quaternary wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films, guided by density functional theory calculations. Wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films have a high optical bandgap, enhanced piezoelectric ...
Julia L. Martin +11 more
wiley +1 more source
A Comparative Study of Frequent Pattern Mining with Trajectory Data. [PDF]
Sensors (Basel), 2022 Ding S, Li Z, Zhang K, Mao F.
europepmc +1 more source
In pursuit of efficient frequent pattern mining in data streams
, 2017 碩士資料串流探勘(Data stream mining)是現今大數據(Big data)領域的研究主題之一。資料串流指的是日常生活中隨著時間不斷產生的大量資料。例如：每個人上網的點擊串流、感測器產生的資料、購物資料、網路流量資料…等。這些資料串流中隱含著許多有價值的資訊，利用資料探勘(Data mining)的技術，可以分析出針對不同應用之下所需要的結果，最後做出更佳的決策。在資料探勘的領域中，其中有一個主題是頻繁樣式探勘(Frequent pattern mining ...
凃耘昇;Tu, Yun-Sheng
core
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Applied SciencesUsing graphs as a data structure is a simple way to represent relationships between objects. Consequently, it has raised the need for algorithms to process, analyze, and extract meaningful information from graphs. Therefore, frequent subgraph mining (FSM)
Daybelis Jaramillo-Olivares +2 more
doaj +1 more source
Mining frequent trajectory pattern based on vague space partition
, 2013 Frequent trajectory pattern mining is an important spatiotemporal data mining problem with broad applications. However, it is also a difficult problem due to the approximate nature of spatial trajectory locations.
Wang L(王亮) +3 more
core