Volume 2, Issue 2 · IJARST · ISSN 2319-1783 / 2320-1126

Study of Various Classification Algorithms using Data Mining

Study of Various Classification Algorithms using Data Mining is an open-access, peer-reviewed research paper by Smruti Ranjan Swain* and Smruti Smaraki Sarangi, published in Volume 2, Issue 2 of the International Journal of Advanced Research in Science and Technology (IJARST), a UGC-approved journal (Print ISSN 2319-1783, Online ISSN 2320-1126).

Author

Smruti Ranjan Swain* and Smruti Smaraki Sarangi

Abstract

Abstract:

Classification is the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known. An example would be assigning a given email into "spam" or "nonspam" classes or assigning a diagnosis to a given patient as described by observed characteristics of the patient (gender, blood pressure, presence or absence of certain symptoms, etc.).In the terminology of machine learning,[1] classification is considered an instance of supervised learning, i.e. learning where a training set of correctly identified observations is available. The corresponding unsupervised procedure is known as clustering, and involves grouping data into categories based on some measure of inherent similarity or distance. An algorithm that implements classification, especially in a concrete implementation, is known as a classifier. The term "classifier" sometimes also refers to the mathematical function, implemented by a classification algorithm that maps input data to a category.

DOI

https://doi.org/10.62226/ijarst20130274

PAGES : 110-114 | 43 VIEWS | 79 DOWNLOADS

How do you cite this paper?

Smruti Ranjan Swain* and Smruti Smaraki Sarangi — “Study of Various Classification Algorithms using Data Mining.” International Journal of Advanced Research in Science and Technology (IJARST), Volume 2, Issue 2. DOI: https://doi.org/10.62226/ijarst20130274.

Read / Download Full Article