REVIEW OF ENSEMBLE CLASSIFICATION?
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.2, No. 5)Publication Date: 2013-05-15
Authors : V. Chitraa Antony Selvadoss Thanamani;
Page : 307-312
Keywords : Bagging; Boosting; Classification; Ensemble; Prediction;
Abstract
Data mining techniques like classification is effectively for used for prediction. Due to technological up gradation, the datasets which are large are distributed over different locations and classification has become a difficult task. The single classifier models are not sufficient for these types of datasets. So the recent research concentrates on combination of various classifiers and creates models. Ensemble methods combine multiple models and are useful in both supervised and unsupervised learning. This paper discusses the framework of ensemble and two types of ensemble models. A review of various algorithms of these two models is given. Combination methods which are used for combining outputs and few applications where it can be used effectively are also discussed.
Other Latest Articles
- “Must know" aspects of medical jurisprudence for medical professionals.
- Anaethetic management of a neonate with huge cystic hygroma
- Intra-articular Osteochondroma: A case Report.
- Development of acute leukemia in a known case of fanconi anaemia ( aplastic anaemai )
- Educational intervention on Kangaroo Mother Care ( KMC) among Antenatal care women.
Last modified: 2013-05-22 14:03:37