Search Results - data classification techniques
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Mining the DNA sequence for race classification / Siti Nurihan Ariffin
Published 2008“…The comparison between classification techniques was done in order to get the best technique for classification. …”
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News sentiment and actual price of stock data: using news classification technique / Anupong Sukprasert, Weerasak Sawangloke and Benchamaphorn Sombatthira
Published 2021“…There were seventeen companies’ data used to analyze the data. News classification techniques was used to sort out key features for further classification. …”
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Comparative analysis of data mining techniques for medical data classification
Published 2013“…Medical data classification plays a crucial role in many medical imaging applications by automating or facilitating the delineation of image data.It addresses the problem of diagnosis, analysis and teaching purposes in medicine.For these several medical imaging data modalities and applications based on data mining techniques have been proposed and developed.In this paper, a comparative analysis of applications of data mining techniques has been presented.Thus, the existing literature suggests that we do not lose sight of the current and future potential of applications of data mining techniques that can impact upon the successful classification of medical data into a thematic map.Thus, there is a great potential for the use of data mining techniques for medical data classification, which has not been fully investigated and would be one of the interesting directions for future research.…”
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Applying data mining classification techniques for employee’s performance prediction
Published 2010“…An experiment is carried out to demonstrate the feasibility of the suggested classification techniques using employee’s performance data. …”
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Case Slicing Technique for Feature Selection
Published 2004“…One of the problems addressed by machine learning is data classification. Finding a good classification algorithm is an important component of many data mining projects. …”
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Evaluating supervised and unsupervised techniques for land cover mapping using remote sensing data
Published 2009“…This paper describes a study that was carried out to perform supervised and unsupervised techniques on remote sensing data for land cover classification and to evaluate the accuracy result of both classification techniques. …”
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Investigation of fault detection and isolation accuracy of different Machine learning techniques with different data processing methods for gas turbine
Published 2022“…Classification is an essential task for many applications, including text classification, image classification, data classification, and so on. …”
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Investigation of fault detection and isolation accuracy of different Machine learning techniques with different data processing methods for gas turbine
Published 2022“…Classification is an essential task for many applications, including text classification, image classification, data classification, and so on. …”
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An enhanced resampling technique for imbalanced data sets
Published 2015“…However, the undersampling and oversampling techniques suffer from elimination and addition of relevant data which may lead to poor classification results. …”
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A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data
Published 2005“…Gene Selection Plays An Important Role Prior To Tissue Classification. In This Paper, A Study On Numerous Combinations Of Gene Selection Techniques And Classification Algorithms For Classification Of Microarray Gene Expression Data Is Presented. …”
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A comparative study in classification techniques for unsupervised record linkage model
Published 2011“…Problem statement: Record linkage is a technique which is used to detect and match duplicate records which are generated in data integration process. …”
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Polynomials feature-transformed heap dimensionality reduction and stacking ensemble for spectrometry data classification
Published 2023“…This research endeavours to develop an accurate and optimal classification framework on FTIR spectra data using a combination of heap dimensionality reduction (DR) technique, polynomial features transformation and a heuristic stacking ensemble technique. …”
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Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
Published 2014“…Database or data warehouse is rich with hidden information that can be used to provide intelligent decision using data mining technique. …”
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Research Reports -
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Integration of rank-partition and sequential wrapper techniques for feature selection of breast cancer microarray data
Published 2015“…Based on previous researches in the context of microarray data classification, the results obtained from the classification of breast cancer data have the lowest accuracy among them. …”
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Enhancing Accuracy Of Credit Scoring Classification With Imbalance Data Using Synthetic Minority Oversampling Technique-Support Vector Machine (SMOTE-SVM) Model
Published 2017“…One of the most common techniques used to develop a credit scoring model is data mining classification task. …”
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Attribute related methods for improvement of ID3 Algorithm in classification of data: A review
Published 2020“…Decision tree is an important method in data mining to solve the classification problems. …”
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An improved computational model for classification of 3D spatio temporal FMRI data
Published 2018“…3D spatial temporal functional magnetic resonance imaging (fMRI) for classification has gained wide attention in the literature to be applied in the application of data mining techniques. …”
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Several Robust Techniques In Two-Groups Unbiased Linear Classification
Published 2013“…The mean probability of correct classification for each procedure was used to compare the mean of the optimal probability of correct classification obtained from the uncontaminated data set in order to ascertain robustness, breakdown and admissibility of these techniques.…”
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The importance of data classification using machine learning methods in microarray data
Published 2021“…This paper reviews existing classification techniques and gene selection methods. …”
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