Data Mining: A Tool for Enhancing Objective Ranking Mechanism

Daniel A Asamoah

Data Mining: A Tool for Enhancing Objective Ranking Mechanism

Research output: Contribution to conference › Paper

Abstract

In this research, we consider the problem of biased ranking of entities based on over-arching influence of subjective variables and suggest an objective approach of using clustering algorithms to rank such entities.

Original language	American English
State	Published - 2012
Externally published	Yes
Event	18th Annual OSU Research Symposium and Research Scholar Conference - Oklahoma State University, Stillwater, United States Duration: Oct 6 2012 → … https://community.okstate.edu/departments/ok-lsamp/symposium/past-research-symposiums.html

Conference

Conference	18th Annual OSU Research Symposium and Research Scholar Conference
Country/Territory	United States
City	Stillwater
Period	10/6/12 → …
Internet address	https://community.okstate.edu/departments/ok-lsamp/symposium/past-research-symposiums.html

Keywords

Data mining
Objective ranking mechanism

Disciplines

Management Information Systems

Access to Document

https://gradcollege.okstate.edu/sites/default/files/abstracts/2012_Abstract_Book_papers.pdf#page=5

Cite this

@conference{7001ba5fc47b417d898b0976ab83f369,

title = "Data Mining: A Tool for Enhancing Objective Ranking Mechanism",

abstract = " In this research, we consider the problem of biased ranking of entities based on over-arching influence of subjective variables and suggest an objective approach of using clustering algorithms to rank such entities.",

keywords = "Data mining, Objective ranking mechanism",

author = "Asamoah, {Daniel A}",

year = "2012",

language = "American English",

note = "18th Annual OSU Research Symposium and Research Scholar Conference ; Conference date: 06-10-2012",

url = "https://community.okstate.edu/departments/ok-lsamp/symposium/past-research-symposiums.html",

}

TY - CONF

T1 - Data Mining

T2 - 18th Annual OSU Research Symposium and Research Scholar Conference

AU - Asamoah, Daniel A

PY - 2012

Y1 - 2012

N2 - In this research, we consider the problem of biased ranking of entities based on over-arching influence of subjective variables and suggest an objective approach of using clustering algorithms to rank such entities.

AB - In this research, we consider the problem of biased ranking of entities based on over-arching influence of subjective variables and suggest an objective approach of using clustering algorithms to rank such entities.

KW - Data mining

KW - Objective ranking mechanism

UR - https://corescholar.libraries.wright.edu/infosys_scm/31

UR - https://gradcollege.okstate.edu/sites/default/files/abstracts/2012_Abstract_Book_papers.pdf#page=5

M3 - Paper

Y2 - 6 October 2012

ER -

Data Mining: A Tool for Enhancing Objective Ranking Mechanism

Abstract

Conference

Keywords

Disciplines

Access to Document

Other files and links

Cite this