Results 21 to 30 of about 1,170,104 (261)

A Self-Attention-Based Imputation Technique for Enhancing Tabular Data Quality

Data, 2023
Recently, data-driven decision-making has attracted great interest; this requires high-quality datasets. However, real-world datasets often feature missing values for unknown or intentional reasons, rendering data-driven decision-making inaccurate.
Do-Hoon Lee, Han-joon Kim
doaj   +1 more source

Coresets for Clustering with Missing Values

CoRR, 2021
We provide the first coreset for clustering points in $\mathbb{R}^d$ that have multiple missing values (coordinates). Previous coreset constructions only allow one missing coordinate. The challenge in this setting is that objective functions, like $k$-Means, are evaluated only on the set of available (non-missing) coordinates, which varies across ...
Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu 0002   +3 more
openaire   +3 more sources

Mathematical aspects of the kriging applied on landslide in Halenkovice (Czech Republic)

Open Geosciences, 2016
Kriging is one of the geostatistical techniques for spatial data analysis that is usually used for a modelling of natural phenomena or a creation of digital elevation models.
Zůvala Robert, Fišerová Eva, Marek Lukáš   +2 more
doaj   +1 more source

The Effect of Preprocessing Techniques, Applied to Numeric Features, on Classification Algorithms’ Performance

Data, 2021
It is recognized that the performance of any prediction model is a function of several factors. One of the most significant factors is the adopted preprocessing techniques.
Esra’a Alshdaifat, Doa’a Alshdaifat, Ayoub Alsarhan, Fairouz Hussein, Subhieh Moh’d Faraj S. El-Salhi   +4 more
doaj   +1 more source

Classification of Building Types in Germany: A Data-Driven Modeling Approach

Data, 2022
Details on building levels play an essential part in a number of real-world application models. Energy systems, telecommunications, disaster management, the internet-of-things, health care, and marketing are a few of the many applications that require ...
Abhilash Bandam, Eedris Busari, Chloi Syranidou, Jochen Linssen, Detlef Stolten   +4 more
doaj   +1 more source

Influence of Missing Values Substitutes on Multivariate Analysis of Metabolomics Data

Metabolites, 2014
Missing values are known to be problematic for the analysis of gas chromatography-mass spectrometry (GC-MS) metabolomics data. Typically these values cover about 10%–20% of all data and can originate from various backgrounds, including analytical ...
Piotr S. Gromski, Yun Xu, Helen L. Kotze, Elon Correa, David I. Ellis, Emily Grace Armitage, Michael L. Turner, Royston Goodacre   +7 more
doaj   +1 more source

Expect: EXplainable Prediction Model for Energy ConsumpTion

Mathematics, 2022
With the steady growth of energy demands and resource depletion in today’s world, energy prediction models have gained more and more attention recently.
Amira Mouakher, Wissem Inoubli, Chahinez Ounoughi, Andrea Ko   +3 more
doaj   +1 more source

Techniques for Robust Imputation in Incomplete Two-Way Tables

Applied System Innovation, 2021
We describe imputation strategies resistant to outliers, through modifications of the simple imputation method proposed by Krzanowski and assess their performance.
Sergio Arciniegas-Alarcón, Marisol García-Peña, Camilo Rengifo, Wojtek J. Krzanowski   +3 more
doaj   +1 more source

Nonconvex $l_p$ -Norm Regularized Sparse Self-Representation for Traffic Sensor Data Recovery

IEEE Access, 2018
Recovering missing values from incomplete traffic sensor data is an important task for intelligent transportation system because most algorithms require data with complete entries as input.
Xiaobo Chen, Yingfeng Cai, Qingchao Liu, Lei Chen   +3 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source