Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

1-1998

Abstract

Hundreds of modeling methods are in existence today. Yet practitioners and researchers are zealously "producing" new modeling methods. The "blooming" of modeling methods is not the problem; the lack of standardize techniques for evaluating them is. To further complicate the matter, most of the modeling methods are introduced based on common sense and intuition. Theoretical foundations and empirical evidence are severely lacking. With the current state of affairs, evaluation of modeling methods has become necessary. Comparing modeling methods provides us with the necessary knowledge and understanding on the strengths and weaknesses of each method. This knowledge can also guide us in our quest for the next modeling methods. This paper reviews the various evaluation techniques used by researchers and practitioners. The evaluation techniques are categorized into non-empirical and empirical techniques.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Science and Engineering

Publication

1998 31st Hawaii International Conference on System Sciences: Kohala Coast

First Page

314

Last Page

323

Identifier

10.1109/HICSS.1998.648327

Publisher

IEEE Computer Society

City or Country

Los Alamitos, CA

Additional URL

https://doi.org/10.1109/HICSS.1998.648327

Download

Share

COinS