A Hybrid Method for Textual Data Classification Based on Support Vector Machine with Particle Swarm Optimization Metaheuristic and k-Means Clustering.
Konstantinas KorovkinasPublished in: Doctoral Consortium/Forum@DB&IS (2020)
Keyphrases
- hybrid method
- support vector machine
- metaheuristic
- particle swarm optimization
- textual data
- hybrid algorithm
- variable neighborhood search
- ant colony optimization
- tabu search
- simulated annealing
- support vector
- feature vectors
- pso algorithm
- training set
- machine learning
- genetic algorithm
- feature selection
- vehicle routing problem
- training data
- information extraction
- structured data
- feature space
- optimal solution
- optimization problems
- search space
- global optimization
- natural language processing
- image classification
- optimization method
- differential evolution
- raw data
- particle swarm optimization pso
- text mining
- search algorithm
- decision trees
- neural network
- text categorization
- knn
- multi objective
- textual information
- evolutionary algorithm
- text documents
- k nearest neighbor
- text classification
- web pages
- active learning