Search Results - feature classification techniques

An enhanced hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification by Nur Syafiqah, Mohd Nafis, Suryanti, Awang

“…Most of the related feature selection for sentiment classification techniques unable to overcome problems of evaluating the significant features that will reduce the classification performance. …”
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The hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification by Nur Syafiqah, Mohd Nafis

“…Hybrid feature selection is an efficient technique in sentiment classification. …”
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Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

“…Case Slicing Technique (CST) helps in identifying the subset of features used in computing the similarity measures needed by classification algorithms. …”
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Prediction of cause of death from forensic autopsy reports using text classification techniques: A comparative study by Mujtaba, Ghulam, Shuib, Liyana, Raj, Ram Gopal, Rajandram, Retnagowri, Shaikh, Khairunisa

“…The six different text classification techniques were applied on these 43 master feature vectors to construct a classification model that can predict the cause of death. …”
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Evaluation of feature extraction and classification techniques for EEG-based subject identification by Handayani, Dini Oktarina Dwi, Abdul Rahman, Abdul Wahab, Yaacob, Hamwira Sakti

“…Those techniques include feature extraction and classification techniques. …”
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A study on feature selection and classification techniques for automatic genre classification of traditional Malay music by Doraisamy, Shyamala, Golzari, Shahram, Mohd. Norowi, Noris, Sulaiman, Md. Nasir, Udzir, Nur Izura

“…Machine learning techniques for automated musical genre classification is currently widely studied. …”
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Feature extraction and classification stage on facial expression : A review by Shidiq, Muchamad Bachram, Ernawan, Ferda, Khubrani, Mousa Mohammed, Nugroho, Fajar Agung

“…This review will compare two kinds of extract features methods and one classification method. The first technique of extracting features is the optimization technique using the K-Mean algorithm, which helps to increase recognition accuracy. …”
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Partial discharge diagnosis in GIS based on pulse sequence features and optimized machine learning classification techniques by Mansour, Diaa-Eldin A., Taha, Ibrahim B.m., Farade, Rizwan A., Abdul Wahab, Noor Izzri

“…The results illustrate the superior detecting accuracy of the second scenario with the proposed five ML classification techniques. The optimized ML classification techniques are implemented and carried out based on MATLAB software package. …”
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Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme by Ashour, Mohammed Waleed, Khalid, Fatimah, Al-Obaydee, Mohammed

“…In this paper, feature extractions scheme followed by features dimensionality reduction technique is presented for image classification. …”
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Performance evaluation of hybrid feature selection technique for sentiment classification based on food reviews by Suryanti, Awang, Nur Syafiqah, Mohd Nafis

“…This paper presents an evaluation of the performance efficiency of sentiment classification using a hybrid feature selection technique. …”
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Job classification: the application of feature selection techniques on graduates’ data / Muhammad Haziq Haikal Hisham, Mohd Azri Abdul Aziz and Ahmad Asari Sulaiman by Hisham, Muhammad Haziq Haikal, Abdul Aziz, Mohd Azri, Sulaiman, Ahmad Asari

“…The final feature ranking was listed for each of the feature selection techniques used and two common features among the rank lists had been found out as important features that affect job classification among graduates.…”
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Feature selection for traditional Malay musical instrument sound classification using rough set by Senan, Norhalina

“…Thus, in this study, an alternative feature selection technique based on rough set theory for traditional Malay musical instrument sounds classification was proposed. …”
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Subject-dependent and subject-independent emotional classification of CMAC-based features using EFuNN by Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab, Kamaruddin, Norhaslinda

“…In the existing studies, different techniques have been employed to extract features from EEG signals for emotion classification. …”
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CMAC-Based Computational Model of Affects (CCMA) from self-organizing feature mapping weights for classification of emotion using EEG signals by Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab, Kamaruddin, Norhaslinda

“…In the existing studies, different techniques have been employed to extract features from EEG signals for emotion classification. …”
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Polynomials feature-transformed heap dimensionality reduction and stacking ensemble for spectrometry data classification by Nur Hasshima Hasbi

“…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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A survey and analysis of feature selection techniques in machine learning for IoT device classification within smart buildings by Waseem, Quadri, Wan Isni Sofiah, Wan Din, Azamuddin, Ab Rahman, Naqeeb Khan, Sundas, Busaeed, Raed Abdullah Abobakr, Fairooz, Towfeeq

“…Feature selection techniques are vital for boosting the effectiveness of machine learning models when categorizing Internet of Things (IoT) device classification for various reasons. …”
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An enhanced feature selection technique for classification of group based holy Quran verses by Abdullahi Oyekunle, Adeleke

“…This thesis is about proposing an enhanced feature selection technique for text classification applications. …”
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The impact of pre-processing and feature selection on text classification by Suryanti, Awang, Nur Syafiqah, Mohd Nafis

“…Better classification performances hit when the number of features is decreased. …”
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Extracting features using computational cerebellar model for emotion classification by Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab, Kamaruddin, Norhaslinda

“…Several feature extraction techniques have been employed to extract features from EEG signals for classifying emotions. …”
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Improved relative discriminative criterion using rare and informative terms and ringed seal search-support vector machine techniques for text classification by Sharif, Wareesa

“…For text classification, feature selection techniques are normally used to identify important features and to remove irrelevant, and noisy features for minimizing the dimensionality of feature space. …”
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