data set pre-processing
Combined Method of Level set with impact on Pre processing for binarization of document images in Tamil Script
... a pre-processing step is applied on noisy data (a) Original data with 20% ‘impulse’ noise as in the previous experiment (b) when ‘Coherence Edge diffusion’ applied on noisy data (c) ...
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A framework for medical image classification using soft set
... on data mining techniques have been proposed and ...in data mining techniques and particularly in soft set, to propose a classification algorithm based on the notions of soft set ...namely: ...
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Analysis of Pre-processing and Post-processing Methods and Using Data Mining to Diagnose Heart Diseases
... Rough set each selected 12, 6 and 10 important variables from this ...uses data mining methods and imperialist competitive algorithms (ICA) was proposed ...
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A Better Looking Brain: Image Pre-Processing Approaches for fMRI Data
... In the past two decades, functional magnetic resonance imaging, hereafter fMRI, has been exten- sively utilized to understand various mysteries related to the brain. This technology has enabled scientists to map physical ...
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A Study on Feature Subsumption for Sentiment Classification in Social Networks using Natural Language Processing
... a pre-processing phase, the review data base is directly sent to POS Tagging phase for feature identifications where the unnecessary words are also considered and the time for entire ...
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Real-Time Data Pre-processing Technique in Web Usage Mining
... and psychology. Most of the systems evolved for web usage mining process have mentioned several algorithms predicting maximal forward reference, large reference sequence to examine the user’s traversal path. Various ...
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The effect of pre processing techniques and optimal parameters on BPNN for data classification
... and data analysis. It’s data-driven, self-adaptive, and non-linear capabilities channel it for use in processing at high speed and ability to learn the solution to a problem from a set of ...
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An Intelligent Multiobjective Progressive Algorithm for Identification of Surgically modified Faces
... (i) Pre- processing of images from data set, (ii) Active Shape Model(ASM) for Feature extraction using Localization of face and primary facial , (iii) Multiple Instances Support Vector machine ...
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Pre-processing for noise detection in gene expression classification data
... their pre-processed versions, resulting from the application of each noise detection technique, were presented to the three ML algorithms ...each data set used in the experiments was also presented ...
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Data Pre-processing in Spam Detection
... Investigation of English vocabulary shows that almost all such words whose length are lesser than or equal to two contains no useful information regarding class of the document. Examples includes a, is, an, of, to, as, ...
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Enhancement of Face Recognition Rate by Data Base Pre-processing
... face data base has to be enhanced so that the affect of face recognition algorithms can be effectively ...image data set for recognition rate improvement [1- ...
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Review of Big Data Pre processing
... FS is not the only way to cope with the curse of dimensionality by reducing the number of dimensions. Instead of selecting the most promising features, space transformation techniques generate a whole new set of ...
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Imputation rules for the implementation of the pre-unification education variable in the BASiD Data Set
... Finally, a comparison of our (imputed) education infor- mation prior to unification with educational information from the IEB right after unification suggests that the best fit is obtained for those assigned a vocational ...
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Study on Cleaning and Pre-Processing Of Large Scale Mobile Data
... In this paper Crowdsensing for brilliant devices depends on automatized data gathering forms. Consequently, there is a probability for unsuccessful readings and blunders, for instance, in the event that the gadget ...
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Analysing wireless EEG based functional connectivity measures with respect to change in environmental factors
... were pre-processed with a band pass filter having a cut-off frequency of ...further processing involved the following stages – artifact reduction, epoching and feature ...EEG data, contaminated by ...
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The ALADIN System and its canonical model configurations AROME CY41T1 and ALARO CY40T1
... in data assimilation on the one hand, and in compute grids on the other hand, accompanied by disentangling and modulariza- tion, optimization and portability issues (including reliability on massively parallel ...
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Efficient Method for 3D Reconstruction using Underwater Videos
... the pre-processing block. In the pre-processing block different pre-processing steps like input video frame generation, resizing and color conversion from RGB to gray is ...The ...
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Pre Processing MRSes
... for pre-processing an MRS. The pre-processing step connects our MRS elements to a domain ontology and it can create additional states and ...
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The effect of data pre processing on optimized training of artificial neural networks
... data by learning from an instance [1]. Multi-layer Perceptrons (MLP) are the most common type of ANN. The general structure of MLP comprises of three layers (i.e. Input layer, hidden layer and output layer). Back ...
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Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling
... of pre-processing the results of 3D- digitization, which includes error filtering, data smoothing and the most sophisticated process of data-point reduction, becomes inevitable in almost any ...
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