Results 111 to 120 of about 80,641 (302)
Similarity processing in multi-observation data [PDF]
, 2012 Many real-world application domains such as sensor-monitoring systems for environmental research or medical diagnostic systems are dealing with data that is represented by multiple observations.
Bernecker, Thomas, Thomas Bernecker
core
Evolutionary data selection for enhancing models of intraday forex time series
, 2012 The hypothesis in this paper is that a significant amount of intraday market data is either noise or redundant, and that if it is eliminated, then predictive models built using the remaining intraday data will be more accurate.
Michael Mayo, Mayo, Michael
core +1 more source
Processing Short Time Series with Data Mining Methods
Scientific Journal of Riga Technical University. Computer Sciences, 2011 This article examines several data mining approaches that perform short time series analysis. The basis of the methods is formed by clustering algorithms with or without modifications. The proposed methods implement short time series analysis when the numbers of the observations are not equal and the historical information is short.
Arnis Kirshners, Arkady Borisov
openaire +1 more source
Advanced Science, EarlyView.Dual targeting of ANGPTL3 and IL‐33/ST2 attenuates diabetic kidney disease by reprogramming lipid–inflammatory crosstalk. This strategy reduces renal lipotoxicity, suppresses inflammatory activation, and limits fibrotic remodeling, thereby preserving kidney structure and function and highlighting a mechanism‐guided therapeutic approach for metabolic ...
Zhuojin Li +8 more
wiley +1 more source
Advanced Science, EarlyView.ABHD17C‐mediated depalmitoylation of BCL6B at Cys442 blocks its nuclear import and triggers ubiquitin‐dependent degradation, attenuating transcriptional repression of the anti‐phagocytic signal CD24. This mechanism enables pancreatic cancer cells to evade macrophage phagocytosis and fosters an immunosuppressive microenvironment.
Yalu Zhang +9 more
wiley +1 more source
Communication network security situation analysis based on time series data mining technology
Open Computer ScienceCommunication network security situation analysis prevents unauthorized users from accessing and stealing sensitive information. Network security analysis aims to monitor, discover, and eradicate security flaws by carefully examining the network’s ...
Jiang Qingjian
doaj +1 more source
Time Series Mining Approaches for Malaria Vector Prediction on Mid-Infrared Spectroscopy Data
Data Science JournalMalaria is an infectious disease caused by the Plasmodium parasite transmitted to humans by the bite of infected female Anopheles mosquitoes. The disease remains a major cause of child mortality globally and caused more than 600,000 deaths in 85 ...
Lucas G. M. Castro +2 more
doaj +1 more source
Advanced Science, EarlyView.This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
Fuzzy clustering of univariate and multivariate time series by genetic multiobjective optimization [PDF]
Given a set of time series, it is of interest to discover subsets that share similar properties. For instance, this may be useful for identifying and estimating a single model that may fit conveniently several time series, instead of performing the usual
S. Bandyopadhyay, R. Baragona, U. Maulik
core
TIME SERIES ANALYSIS USING A UNIQUE MODEL OF TRANSFORMATION
Journal of Information and Organizational Sciences, 2007 REFII1 model is an authorial mathematical model for time series data mining. The main purpose of that model is to automate time series analysis, through a unique transformation model of time series.
Goran Klepac
doaj