[PDF][PDF] A Review of Data Cleaning Methods for Web Information System.

J Wang, X Wang, Y Yang… - … , Materials & Continua, 2020 - pdfs.semanticscholar.org
Web information system (WIS) is frequently-used and indispensable in daily social life. WIS
provides information services in many scenarios, such as electronic commerce …

Geometric proximity graphs for improving nearest neighbor methods in instance-based learning and data mining

G Toussaint - International Journal of Computational Geometry & …, 2005 - World Scientific
In the typical nonparametric approach to classification in instance-based learning and data
mining, random data (the training set of patterns) are collected and used to design a …

TAO-robust backpropagation learning algorithm

AV Pernía-Espinoza, JB Ordieres-Meré… - Neural Networks, 2005 - Elsevier
In several fields, as industrial modelling, multilayer feedforward neural networks are often
used as universal function approximations. These supervised neural networks are …

A neural network-based approach for optimising rubber extrusion lines

AG Marcos, AV Pernía Espinoza, FA Elías… - … Journal of Computer …, 2007 - Taylor & Francis
The current study shows how data mining and artificial intelligence techniques can be used
to introduce improvements in the rubber extrusion production process. One of the keys for …

Missing data imputation through GTM as a mixture of t-distributions

A Vellido - Neural Networks, 2006 - Elsevier
The Generative Topographic Mapping (GTM) was originally conceived as a probabilistic
alternative to the well-known, neural network-inspired, Self-Organizing Maps. The GTM can …

Development of neural network-based models to predict mechanical properties of hot dip galvanised steel coils

A Gonzalez-Marcos, F Alba-Elias… - … Journal of Data …, 2011 - inderscienceonline.com
In the industrial arena, artificial neural networks are among the most significant techniques
in system modelling because of their efficiency and simplicity. In this paper, we present an …

Comparison of models created for the prediction of the mechanical properties of galvanized steel coils

J Ordieres-Meré… - Journal of Intelligent …, 2010 - Springer
The mechanical properties of steel coils can be predicted prior to the galvanizing process,
thereby preventing the production of galvanized steel coils that are not suitable for the …

Data mining techniques for the estimation of variables in health-related noisy data

H Alaiz-Moreton, L Fernández-Robles… - … Joint Conference SOCO …, 2018 - Springer
Public health in developed countries is heavily affected by pollution specially in highly
populated areas. Amongst the pollutants with greatest impact in health, ozone is particularly …

[PDF][PDF] Distinguishing profile deviations from a part's deformation using the maximum normed residual test

A Aidibe, AS Tahan, GN Abenhaim - WSEAS Transactions on Applied …, 2012 - wseas.com
Non-rigid parts, in free-state, may have a considerable different shape than their nominal
model due to dimensional and geometric variations of manufacturing process, gravity loads …

Steel annealing furnace robust neural network model

A Pernía-Espinoza, M Castejón-Limas… - Ironmaking & …, 2005 - journals.sagepub.com
In this day and age, galvanised coated steel is an essential product in several key
manufacturing sectors because of its anticorrosive properties. The increase in demand has …