Results 31 to 40 of about 36,481,271 (303)
Mining the past to forecast the future: comments [PDF]
, 2009 In forecasting, data mining is frequently perceived as a distinct technological discipline without immediate relevance to the challenges of time series prediction.
Crone, S, Sven F. Crone
core +1 more source
Modelling Stabilometric Time Series [PDF]
, 2010 Stabilometry is a branch of medicine that studies balance-related human functions. Stabilometric systems generate time series. The analysis of these time series using data mining techniques can be very useful for domain experts.
Caraça-Valente Hernández, Juan Pedro +3 more
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Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
A Recent-Pattern Biased Dimension-Reduction Framework for Time Series Data
Journal of Advances in Information Technology, 2010 High-dimensional time series data need dimension-reduction strategies to improve the efficiency of computation and indexing. In this paper, we present a dimension-reduction framework for time series.
Santi Phithakkitnukoon, Carlo Ratti
doaj +1 more source
Similarity Measures and Dimensionality Reduction Techniques for Time Series Data Mining
, 2012 The chapter is organized as follows. Section 2 will introduce the similarity matching problem on time series. We will note the importance of the use of efficient data structures to perform search, and the choice of an adequate distance measure. Section
Cannata, A. +10 more
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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
Flood prediction with time series data mining: Systematic review
Natural Hazards ResearchThe global community is continuously working to minimize the impact of disasters through various actions, including earth surveying. For example, flood-prone areas must be identified appropriately, predicted, understood, and socialized.
Dimara Kusuma Hakim +2 more
doaj +1 more source
Evaluating the Privacy and Utility of Time-Series Data Perturbation Algorithms
Mathematics, 2023 Data collected from sensor-rich systems may reveal user-related patterns that represent private information. Sensitive patterns from time-series data can be protected using diverse perturbation methods; however, choosing the method that provides the ...
Adrian-Silviu Roman
doaj +1 more source
Ubiquitous data stream mining [PDF]
, 2004 The dissemination of data stream systems, wireless networks and mobile devices motivates the need for an efficient data analysis tool capable of gaining insights about these continuous data streams.
Zaslavsky, Arkady +5 more
core
FEBS Open Bio, EarlyView.We report the first β‐glucosidase with demonstrated hydrolytic activity on an N‐linked glycopyranoside. The enzyme, native to maize, was biochemically characterised for this novel reaction, and structural modelling of the enzyme–substrate complex revealed several clues to the underlying reduced catalytic rate relative to its native O‐glycopyranoside ...
Hani Gharabli +3 more
wiley +1 more source