Search Results - "feature selection"

Feature Selection Based on Semantics by Chua, Stephanie, Kulathuramaiyer, Narayanan

“…This paper looks into feature selection, one of the main processes in text categorization. …”
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Features selection for multi-camera tracking by A. Aziz, Nor Nadirah, Mohd Mustafah, Yasir, Azman, Amelia Wong, Zainuddin, N. Afiqah, Rashidan, M. Ariff

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Feature Selection based on Mutual Information by Muhammad Aliyu, Sulaiman, Jane, Labadin

“…In this paper a feature selection based on mutual information criterion is proposed, the strong point of this method relies on the choice of threshold based on statistically sound criterion for the typical greedy feedforward method of feature selection. …”
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Semantic feature selection for spam filtering by Azlina, Narawi

“…In this research, spam filtering is explored based on semantic feature selection. Here, the Wordnet-based approach is employed with statistical approaches used for the purpose of comparison. …”
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Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

“…All these approaches are implemented with RELIEF feature selection approach. The classification accuracy obtained from the CST method is compared to other selected classification methods such as Value Difference Metric (VDM), Pre-Category Feature Importance (PCF), Cross-Category Feature Importance (CCF), Instance-Based Algorithm (IB4), Decision Tree Algorithms such as Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5), Rough Set methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) and Neural Network methods such as the Multilayer method.…”
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Human-like rule optimization for continuous domains by Hadzic, Fedja, Dillon, Tharam S.

Subjects: “…Feature Selection…”
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Rule optimizing technique motivated by human concept formation by Hadzic, Fedja, Dillon, Tharam S.

Subjects: “…Feature Selection…”
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Using the symmetrical Tau criterion for feature selection decision tree and neural network learning by Hadzic, Fedja, Dillon, Tharam S

Subjects: “…feature selection…”
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Text Categorization Using an Automatically Generated Labelled Dataset: An Evaluation Study by Zhu, Dengya, Wong, K.

Subjects: “…feature selection…”
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Feature selection for classification of hyperspectral data by SVM by Pal, Mahesh, Foody, Giles M.

“…This highlights a dependency of the accuracy of classification by a SVM on the dimensionality of the data and so the potential value of undertaking a feature selection analysis prior to classification. Additionally, it is demonstrated that even when a large training sample is available feature selection may still be useful. …”
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Understanding Mahalanobis Distance Criterion for Feature Selection by Maz Jamilah, Masnan, Nor Idayu, Mahat, Ali Yeon, Md Shakaff, Abu Hassan, Abdullah, Nur Zawatil, Ishqi Zakaria, Nurlisa, Yusuf, Norazian, Subari, Ammar, Zakaria, Abdul Hallis, Abdul Aziz

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A review of feature selection on text classification by Nur Syafiqah, Mohd Nafis, Suryanti, Awang

“…Thus, in this paper, we presented three feature selection approaches; filter, wrapper and embedded. …”
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The effect of term weighting measures on feature selection by Latifah Loh, Abdullah

“…Feature selection is an important stage in any text mining classification techniques. …”
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An Examination of feature selection frameworks in Text Categorization by Bong, Chih How, Wong, Tng Kiong

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Feature Selection with Mutual Information for Regression Problems by Muhammad Aliyu, Sulaiman, Jane, Labadin

“…However, mutual information estimator suffers the following limitation; it depends on smoothing parameters, the feature selection greedy methods lack theoretically justified stopping criteria and in theory it can be used for both classification and regression problems, however in practice more often it formulation is limited to classification problems. …”
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An investigation of fuzzy methods and meta learning for feature selection by Shen, Zixiao

Subjects: “…Feature selection…”
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A Feature Selection Approach for Network Intrusion Detection by Khor, Kok-Chin, Ting, Choo-Yee, Amnuaisuk, Somnuk-Phon

“…The shared feature set consisted of features agreed by the two feature selection algorithms and therefore considered important features for identifying intrusions. …”
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Texture Features Selection for Masses Detection In Digital Mammogram by A. M., Khuzi, R., Besar, W. M. D. Wan, Zaki

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An ensemble feature selection method to detect web spam by Oskouei, Mahdieh Danandeh, Razavi, Seyed Naser

“…Feature selection is an important issue in data mining, and it is used to reduce dimensions of features set. …”
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Supervised feature selection based on the law of total variance by Nur Atiqah, Mustapa, Azlyna, Senawi, Wei, Hua-Liang

“…Feature selection is a fundamental pre-processing step in machine learning that decreases data dimensionality by removing superfluous and irrelevant features. …”
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