k-nearest neighbour using ensemble clustering based on feature selection approach to learning relational data
Due to the growing amount of data generated and stored in relational databases, relational learning has attracted the interest of researchers in recent years.Many approaches have been developed in order to learn relational data.One of the approaches used to learn relational data is Dynamic Aggregati...
Main Authors: | Alfred, Rayner, Shin, Kung Ke, Sainin, Mohd Shamrie, On, Chin Kim, Pandiyan, Paulraj Murugesa, Ag Ibrahim, Ag Asri |
---|---|
Other Authors: | Akagi, Masato |
Format: | Book Section |
Published: |
Springer International Publishing
2016
|
Subjects: |
Similar Items
-
Nearest neighbour distance matrix classification
by: Sainin, Mohd Shamrie, et al.
Published: (2010) -
A genetic based wrapper feature selection
approach using nearest neighbour distance matrix
by: Sainin, Mohd Shamrie, et al.
Published: (2011) -
ENBFS+kNN: Hybrid ensemble classifier using entropy-based naïve Bayes with feature selection and k-nearest neighbor
by: Sainin, Mohd Shamrie, et al.
Published: (2016) -
Ensemble Meta Classifier with Sampling and Feature Selection for Data with Multiclass Imbalance Problem
by: Sainin, Mohd Shamrie, et al.
Published: (2021) -
A direct ensemble classifier for imbalanced multiclass learning
by: Sainin, Mohd Shamrie, et al.
Published: (2012)