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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD)
An International Open Access Journal |   ISSN: 2456-4184 |  IMPACT FACTOR: 5.57

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Volume 4 | Issue 10

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Paper Title: Meta learning and Base learning on various data sets, A Comparative Study
Authors Name: Sanjay Kumar Sen , Prof. Dr. Sujata Dash
Author Reg. ID:
IJNRD_180074
Published Paper Id: IJNRD1805003
Published In: Volume 3 Issue 5, May-2018
Abstract: There are varieties of data mining algorithms and techniques available for the extraction of hidden knowledge from large data base. Classification is one of the widely used techniques in data mining. Different machine learning algorithms have been proposed for data classification. Several base classifiers are combined by meta learner whose individual performances in some way contribute to the overall classification. The premise is that meta-learning enhances the data mining task with the ability to learn and adapt from previous experience. This paper comprises empirical evaluation on the performance of two meta learning approaches on several base learning algorithm.
Keywords: Meta-learning, classification, meta-learner, base classifiers, data mining.
Cite Article: "Meta learning and Base learning on various data sets, A Comparative Study", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.3, Issue 5, page no.15-17, May-2018, Available :http://www.ijnrd.org/papers/IJNRD1805003.pdf
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