Results 101 to 110 of about 80,641 (302)
Towards Robust and Privacy-aware Time Series Data Mining
, 2023 With the advancement of sensor technology, large volumes of high-resolution time series are collected in a variety of domains and data mining in large-scale time series has attracted great research attention. While many time series data mining methods in
Zhang, Li
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Advanced Science, EarlyView.A direct cascaded utilization strategy for spent LiFePO4 batteries efficiently extracts lithium from brine, embodying the “urban mining” concept. Phase fraction modulation revealed its significant impact on local bond lengths of crystal structure and the Li/Na diffusion energy barrier, identifying the best material (Li0.19FePO4) for lithium extraction.
Ruiqi Yin +7 more
wiley +1 more source
Learning short multivariate time series models through evolutionary and sparse matrix computation
, 2005 Multivariate time series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is important for many decision making activities.
Liu, X, Kok, J, Swift, S
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Review of Outlier Detection Algorithms [PDF]
Jisuanji kexueOutlier detection,as an important research direction in the field of data mining,aims to discover data points in a dataset that are different from the majority and have potential analytical value,assistresearchers in identifying potential issues in the ...
KONG Lingchao, LIU Guozhu
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Advanced Science, EarlyView.A diluent‐free, customizable liquid–liquid phase separation (LLPS) platform enables highly efficient radioactive metal ion extraction and stripping. By encapsulating hydrophobic extractants into an ionic surfactant‐rich condensed phase, this LLPS system leverages synergistic electrostatic and coordination interactions.
Ruihan Yan +7 more
wiley +1 more source
Study on Visual Techniques of Potential Pattern Discovery for Time Series Data
MATEC Web of Conferences, 2018 Sequential pattern mining is always a very important branch of time series data mining. The pattern mining with visual means can be used to extract the knowledge of time series data more intuitively. Based on the research content, this paper analyzes the
Xu Dalin, Wei Yingmei
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Advanced Science, EarlyView.Ovarian macrophage depletion reverses OHSS resistance in estrildid finches and exacerbates OHSS symptoms in rats. Activating macrophage GPR183 alleviates OHSS by reducing pro‐inflammatory factors, increasing immunomodulatory molecules, remodeling CD44/SDC4‐mediated communication, and restoring immune homeostasis.
Xiaofei Yan +11 more
wiley +1 more source
An Efficient Algorithm for Frequent Pattern Mining for Real-Time Business Intelligence Analytics in Dense Datasets [PDF]
Finding frequent patterns from databases has been the most time consuming process in data mining tasks, like association rule mining. Frequent pattern mining in real-time is of increasing thrust in many business applications such as e-commerce ...
Dass, Rajanish
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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 +2 more
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Advanced Science, EarlyView.SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang +8 more
wiley +1 more source