Results 81 to 90 of about 685,496 (293)
Isolation Forests for Symbolic Data as a Tool for Outlier Mining
Aim: Outlier detection is a key part of every data analysis. Although many definitions of outliers can be found in the literature, all of them emphasize that outliers are objects that are in some way different from other objects in the dataset.
Marcin Pełka, Andrzej Dudek
doaj
PERTARUNGAN SIMBOLIK DALAM WACANA BANTUAN KHUSUS MAHASISWA
This study aims to describe forms of, strategies in, and factors causing symbolic conflicts in the discourse of Special Aids for Students (SAS). The data sources were texts on SAS in mass media.
Mohamad Jazeri
doaj
The symbolic struggle in a surgical nurse’ daily life in a military hospital [PDF]
Objective to understand the symbolic struggle in a surgical nurse’ daily life in a military hospital. Method qualitative research, approach, case study. Theoretical framework used was Bourdieu’s sociology.
Milagros Florencia Mercedes Huamán Martínez +3 more
doaj +1 more source
Symbolic Time Series Analysis in Economics [PDF]
In this paper I describe and apply the methods of Symbolic Time Series Analysis (STSA) to an experimental framework. The idea behind Symbolic Time Series Analysis is simple: the values of a given time series data are transformed into a finite set of ...
Juan Gabriel Brida
core
SPG4 and Dementia: Expanding the Clinical Spectrum
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
Clasificacion automática simbólica por medio de algoritmos genéticos
This paper presents a variant in the methods for clustering: a genetic algorithm for clustering through the tools of symbolic data analysis. Their implementation avoids the troubles of clustering classical methods: local minima and dependence of data ...
Fabio Fernández-Jiménez +1 more
doaj +1 more source
Methods of conceptual clustering and their relation to numerical taxonomy [PDF]
Artificial Intelligence (AI) methods for machine learning can be viewed as forms of exploratory data analysis, even though they differ markedly from the statistical methods generally connoted by the term.
Fisher, Douglas, Langley, Pat
core +1 more source
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat +6 more
wiley +1 more source
Image Feature Extraction Using Symbolic Data of Cumulative Distribution Functions
Symbolic data analysis is an emerging field in statistics with great potential to become a standard inferential technique. This research introduces a new approach to image feature extraction using the empirical cumulative distribution function (ECDF) and
Sri Winarni +3 more
doaj +1 more source

