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IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 01/2013, Volume 25, Issue 1, pp. 1 - 14
Journal Article
Artificial intelligence, ISSN 0004-3702, 1997, Volume 97, Issue 1-2, pp. 273 - 324
In the feature subset selection problem, a learning algorithm is faced with the problem of selecting a relevant subset of features upon which to focus its attention, while ignoring the rest... 
Wrapper | Feature selection | Filter | Classification | filter | LEARNING ALGORITHMS | IRRELEVANT | wrapper | classification | feature selection | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 06/2017, Volume 92, pp. 1 - 8
....•It is nearly ten times faster than the wrapper methods. The wrapper feature selection method can achieve high classification accuracy... 
Wrapper methods | Filter methods | Feature selection | FILTER | INFORMATION | VALIDATION | ALGORITHMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Methods | Algorithms | Computer science | Consumption (Economics) | Analysis
Journal Article
Information sciences, ISSN 0020-0255, 2014, Volume 282, pp. 111 - 135
•Feature selection is often required for microarray data classification.•We review the most up-to-date feature selection methods in this field... 
Dataset shift | Feature selection | Microarray data | Unbalanced data | FILTER | ADENOCARCINOMA | TUMOR | COMPUTER SCIENCE, INFORMATION SYSTEMS | IMBALANCED DATA | COMPLEXITY-MEASURES | CANCER | MOLECULAR CLASSIFICATION | SURVIVAL PREDICTION | GENE-EXPRESSION | FEATURE SUBSET | Databases | Communities | Classification | Machine learning | Readers | Standards | Bearing | Reviewing
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2018, Volume 300, pp. 70 - 79
.... Feature selection provides an effective way to solve this problem by removing irrelevant and redundant data, which can reduce computation time, improve learning accuracy, and facilitate a better... 
Dimensionality reduction | Feature selection | Data mining | Machine learning | FILTER METHOD | CLASSIFICATION | FEATURE SUBSET-SELECTION | BINARY PSO | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PARTICLE SWARM OPTIMIZATION | MUTUAL INFORMATION | ROUGH SET | IMAGE RECOGNITION | RELEVANCE | SUPERVISED FEATURE-SELECTION | Computer science | Information management | Analysis
Journal Article
Information (Basel), ISSN 2078-2489, 2017, Volume 8, Issue 4, p. 152
The main purpose of feature subset selection is to remove irrelevant and redundant features from data, so that learning algorithms can be trained by a subset of relevant features... 
Feature subset selection | Multi-objective optimization | Swarm intelligence | Hybrid filter-wrapper | High-dimensionality | Epsilon-greedy Swarm Optimizer | Feature extraction | Algorithms | Data sets | Optimization | Machine learning | feature subset selection | high-dimensionality | multi-objective optimization | hybrid filter-wrapper | swarm intelligence
Journal Article
International Journal of Electrical and Computer Engineering, ISSN 2088-8708, 08/2016, Volume 6, Issue 4, pp. 1880 - 1888
... and decrease the learning accuracy. The increase of data size in terms of number of instances and number of features becomes a great challenge for the feature selection... 
K-nearest neighbors | Classifiers | Feature selection | Filters | Information gain | Naive bayes
Journal Article
Informatics (Basel), ISSN 2227-9709, 2018, Volume 5, Issue 1, p. 13
.... Therefore, there is a need to propose the novel miRNA subset selection algorithms to remove irrelevant and redundant miRNAs and find miRNAs responsible for cancer development... 
Hybrid filter-wrapper | Cancer classification | Competitive Swarm Optimization | High-dimensionality | Three-stage framework | MiRNA subset selection | Algorithms | Ranking | Ribonucleic acid--RNA | Classification | Cancer | Fuzzy systems | high-dimensionality | hybrid filter-wrapper | cancer classification | miRNA subset selection | three-stage framework
Journal Article
Pattern Recognition, ISSN 0031-3203, 09/2015, Volume 48, Issue 9, pp. 2798 - 2811
Journal Article
Pattern Recognition, ISSN 0031-3203, 08/2015, Volume 48, Issue 8, pp. 2656 - 2666
.... Discovering feature interaction is a challenging task in feature selection. In this paper, a novel feature selection algorithm considering feature interaction is proposed... 
Interaction weight factor | Feature selection | Feature interaction | Filter method | RELEVANCE | GENE SELECTION | ALGORITHM | FEATURE SUBSET | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Methods | Algorithms
Journal Article
Engineering applications of artificial intelligence, ISSN 0952-1976, 2014, Volume 32, pp. 112 - 123
Journal Article
International Journal on Advanced Science, Engineering and Information Technology, ISSN 2088-5334, 2017, Volume 7, Issue 4-2, pp. 1595 - 1600
Journal Article
International Journal of Pattern Recognition and Artificial Intelligence, ISSN 0218-0014, 08/2011, Volume 25, Issue 5, pp. 605 - 625
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2015, Volume 168, pp. 1024 - 1036
Journal Article
Pattern recognition, ISSN 0031-3203, 2012, Volume 45, Issue 8, pp. 2992 - 3002
Journal Article