Booster in High Dimensional Data Classification

Voleti Prasanthi; Paruchuri Geethika

Title:
Booster in High Dimensional Data Classification

Authors:
Paruchuri Geethika | Voleti Prasanthi
DOI:
https://doi.org/10.31142/ijtsrd11368

Cite This Article :

Paruchuri Geethika | Voleti Prasanthi "Booster in High Dimensional Data Classification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3, April 2018, pp.1186-1190, URL: https://www.ijtsrd.com/papers/ijtsrd11368.pdf

Download

Abstract :
Classification issues in high dimensional information with modest number of perceptions are ending up additional normal particularly in microarray data. The increasing measure of content data on the Internet pages influences the grouping analysis[1]. The content grouping is a great examination method utilized for dividing an enormous measure of data into groups. Henceforth, the significant issue that influences the content grouping method is the nearness uninformative and inadequate highlights in content reports. A wide class of boosting calculations can be translated as performing coordinate-wise angle drop to limit some potential capacity of the edges of an information set[1]. This paper proposes another assessment measure Q-measurement that joins the solidness of the chose highlight subset in expansion to the expectation precision. At that point we propose the Booster of a FS calculation that lifts the estimation of the Qstatistic of the calculation connected.

Keywords :
high dimensional data classification; feature selection; stability; Q-statistic; Booster

Publication Details:

Unique Identification Number : IJTSRD11368

Published In : Volume-2 | Issue-3, April 2018

Page Number(s) : 1186-1190

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

About IJTSRD
Indexing

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.