data pre-processing methods
Review of Big Data Pre processing
... of data has been observed in recent years being a key factor of the Big Data ...Big Data can be defined as high volume, velocity and variety of data that require a new high- performance ...big ...
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Analysis of Pre-processing and Post-processing Methods and Using Data Mining to Diagnose Heart Diseases
... a data set of 828 cases was ...classification methods used in that study included probabilistic neural network (PNN), K- NN, MLP, and Naïve Bayes ...high-dimensional data sets. The data set ...
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Relational Data Pre-Processing Techniques for Improved Securities Fraud Detection
... several methods for data pre-processing that we applied to transform a large, dynamic, and relational dataset describing nearly the entirety of the ...these methods made the dataset ...
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The effect of data pre processing on optimized training of artificial neural networks
... Four ANN models are presented in this paper; a simple modification to the gradient based search direction is used by all these methods as summarized by Bishop [23]. Furthermore, the gradient based search direction ...
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The effect of pre processing techniques and optimal parameters on BPNN for data classification
... common methods used for classification ...the data in the hidden layers with high power of generalization (Nawi et ...training data (an epoch) before being applied, while on-line training updates ...
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Image Pre processing on Character Recognition using Neural Networks
... of pre-processing on character recognition using neural network is an improvement of the image data that suppresses unwanted distortions or enhances some image features important for further ...Image ...
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Syndromic surveillance using veterinary laboratory data : data pre-processing and algorithm performance evaluation
... the data are collapsed by the unique herd identification for each ...the methods described in this paper were carried out for all the syndromic groups monitored ...
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A Better Looking Brain: Image Pre-Processing Approaches for fMRI Data
... denoising methods through simulated fMRI data sets, that is, when ground truth is ...ous methods presented across the previous chapters of this ...
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Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling
... To eliminate the problems which stem from the specific values of decision-critical input parameters entered by the user, and create a more user-friendly system, a new, synthetic parameter was introduced under the name ...
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Advanced Signal Processing Methods for Planetary Radar Sounders Data
... ) and the Viterbi Algorithm (VA) for locating each of the target features. In this context, our approach addresses the critical issue of the literature algorithms which are characterized by a high computational ...
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Comparison of DTI analysis methods for clinical research: influence of pre-processing and tract selection methods
... MRI data included in the present study were acquired before the rehabilitation therapy and the time period between injury and MRI was included as a covariate in the correlation ...
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A comparative investigation of the combined effects of pre-processing, wavelength selection, and regression methods on near-infrared calibration model performance
... this data set due to the small size of the whole data ...tablet data set where non-linear regression methods performed consistently better than the linear regression methods, the ...
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Enhancement of Face Recognition Rate by Data Base Pre-processing
... image data onto lower dimensional subspace crossed by the best eigenvectors of the covariance ...the data points of two or more different classes are distant from each other, this mean LDA searches for the ...
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Data processing costs for three posture assessment methods
... different methods and identify the best method for a given purpose and at a given budget, we need data on the statistical efficiency of the measurement methods in addition to cost data ...cost ...
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Creating a complete workflow for digitising historical census documents : considerations and evaluation
... image pre-processing, OCR setup, table recognition, post-processing, data ingestion, crowdsourcing, and quality ...Evaluation methods and results are presented for all ...
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An Overview of Pre-Processing Text Clustering Methods
... Abstract:In the last decades digital forensics has become a prominent activity in modern investigations. Seized digital devices can provide precious information and evidences about facts and/or individuals on which the ...
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Model Improvement Through Comprehensive Preprocessing For Loan Default Prediction
... classification methods (Naïve Bayes, Decision Tree and Random Forest) are being used for prediction, comprehensive different pre-processing techniques are being applied on the data set, and ...
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Pre Processing MRSes
... So far, we have connected types for each Ep together, but sometimes a more detailed structure is required in order to express meaning. A part of one structure can connect to a part of another. In the examples: “the cat ...
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Analysing wireless EEG based functional connectivity measures with respect to change in environmental factors
... The data in cond1 was primarily targeted towards acquiring the resting stage EEG data used for the artifact removal algorithm used in post-processing the ...
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Real time 3D Face Recognition using Line Projection and Mesh Sampling
... 3D data were profitably used to test recognition algorithms in the FRGC, the process does not represent a natural way in which 3D facial recognition systems are to be ...
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