[PDF][PDF] Heuristic Initialization Using Grey Wolf Optimizer Algorithm for Feature Selection in Intrusion Detection
Anomaly detection deals with identification of items that do not conform to an expected
pattern or items present in a dataset. The performance of the various mechanisms that are …
pattern or items present in a dataset. The performance of the various mechanisms that are …
[PDF][PDF] A novel salp swarm clustering algorithm for prediction of the heart diseases
Heart diseases have a severe impact on human life and health. Cardiovascular deaths and
diseases have increased at a fast rate worldwide. The early prediction of these diseases is …
diseases have increased at a fast rate worldwide. The early prediction of these diseases is …
Computational intelligence modeling of the macromolecules release from PLGA microspheres—Focus on feature selection
Poly-lactide-co-glycolide (PLGA) is a copolymer of lactic and glycolic acid. Drug release
from PLGA microspheres depends not only on polymer properties but also on drug type …
from PLGA microspheres depends not only on polymer properties but also on drug type …
Nature inspired instance selection techniques for support vector machine speed optimization
Due to the fast-growing rate of information sources, many organizations and individuals are
overwhelmed with vast amounts of data. The rate of data growth is very alarming, and it is …
overwhelmed with vast amounts of data. The rate of data growth is very alarming, and it is …
A holistic performance comparison for lung cancer classification using swarm intelligence techniques
In the field of bioinformatics, feature selection in classification of cancer is a primary area of
research and utilized to select the most informative genes from thousands of genes in the …
research and utilized to select the most informative genes from thousands of genes in the …
A state-of-art optimization method for analyzing the tweets of earthquake-prone region
With the increase in accumulated data and usage of the Internet, social media such as
Twitter has become a fundamental tool to access all kinds of information. Therefore, it can be …
Twitter has become a fundamental tool to access all kinds of information. Therefore, it can be …
Feature selection with a local search strategy based on the forest optimization algorithm
Feature selection has been widely used in data mining and machine learning. Its objective is
to select a minimal subset of features according to some reasonable criteria so as to solve …
to select a minimal subset of features according to some reasonable criteria so as to solve …