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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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
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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
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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
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
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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
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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
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Mobile Game Evaluation Method Based on Data Mining of Affective Time Series
SensorsOur work is positioned at the intersection of game data science, affective gaming, and the implementation of multimodal body sensors analysis. We propose an original method of evaluating the quality of a class of video games based on the emotional ...
Jeremi K. Ochab +4 more
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Generating time series reference models based on event analysis
, 2010 Creating a reference model that represents a given set of time series is a relevant problem as it can be applied to a wide range of tasks like diagnosis, decision support, fraud detection, etc. In some domains, like seismography or medicine, the relevant
Caraça-Valente Hernández, Juan Pedro +2 more
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Robust exponential smoothing of multivariate time series. [PDF]
Multivariate time series may contain outliers of different types. In presence of such outliers, applying standard multivariate time series techniques becomes unreliable. A robust version of multivariate exponential smoothing is proposed.
Croux, Christophe +2 more
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