Open Access
Subscription Access
Open Access
Subscription Access
Feature Selection Algorithms-A Survey
Subscribe/Renew Journal
Feature Selection plays an important role in data mining. Dealing with excessive number of features has become a computational burden on learning algorithms. Removing irrelevant and redundant features makes data mining task more efficient and improves its accuracy. In this review, different feature selection approaches, relation between them and the various learning algorithms are discussed. Applications that support the use of feature selection technique are also included. We conclude this work by reviewing the contribution of the various feature selection approaches.
Keywords
Feature Selection, Classification, Clustering, Supervised, Unsupervised, Semi-Supervised.
User
Subscription
Login to verify subscription
Font Size
Information
Abstract Views: 229
PDF Views: 2