Scoring Levels of Categorical Variables with Heterogeneous Data

Eugene Tuv; George Runger

doi:10.1109/MIS.2004.1274906

Scoring Levels of Categorical Variables with Heterogeneous Data

Eugene Tuv, George Runger

Industrial, Systems and Operations Engineering

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Original language	English (US)
Pages (from-to)	14-19
Number of pages	6
Journal	IEEE Intelligent Systems
Volume	19
Issue number	2
DOIs	https://doi.org/10.1109/MIS.2004.1274906
State	Published - 2004

ASJC Scopus subject areas

Computer Networks and Communications
Artificial Intelligence

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10.1109/MIS.2004.1274906

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@article{8345df45d7b849bc874bd645d92f740d,

title = "Scoring Levels of Categorical Variables with Heterogeneous Data",

author = "Eugene Tuv and George Runger",

note = "Funding Information: National Science Foundation grant DMI-0085041 partly supported George Runger{\textquoteright}s research.",

year = "2004",

doi = "10.1109/MIS.2004.1274906",

language = "English (US)",

volume = "19",

pages = "14--19",

journal = "IEEE Intelligent Systems",

issn = "1541-1672",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2",

}

TY - JOUR

T1 - Scoring Levels of Categorical Variables with Heterogeneous Data

AU - Tuv, Eugene

AU - Runger, George

N1 - Funding Information: National Science Foundation grant DMI-0085041 partly supported George Runger’s research.

PY - 2004

Y1 - 2004

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U2 - 10.1109/MIS.2004.1274906

DO - 10.1109/MIS.2004.1274906

M3 - Article

AN - SCOPUS:2142758688

SN - 1541-1672

VL - 19

SP - 14

EP - 19

JO - IEEE Intelligent Systems

JF - IEEE Intelligent Systems

IS - 2

ER -

Scoring Levels of Categorical Variables with Heterogeneous Data

ASJC Scopus subject areas

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