Paper Info
Title
DEA-Based Comprehensive Evaluation of Intelligent Knowledge
Abstract
The paper is about how to evaluate the intelligent knowledge. We think that the criteria is not only distinguishing ability and accuracy of the algorithm, but also algorithm robustness, stability and so on. Besides positive characters listed above, a fair evaluation system of intelligent knowledge should also include negative characters, such as storage space, running time, training and testing time and costs and etc. In this paper we look positive and negative characters of data mining algorithm as the outputs and inputs of a decision making unit, and proposed a model to evaluating intelligent knowledge comprehensively using DEA.
Year
DOI
Venue
2008
10.1109/WIIAT.2008.337
Web Intelligence/IAT Workshops
Keywords
Field
DocType
intelligent knowledge,fair evaluation system,testing time,storage space,distinguishing ability,positive character,intelligent knowledge comprehensively,algorithm robustness,negative character,dea-based comprehensive evaluation,data mining algorithm,accuracy,data mining,robustness,algorithm design and analysis,data envelopment analysis,stability analysis
Data mining,Algorithm robustness,Evaluation system,Algorithm design,Intelligent decision support system,Computer science,Robustness (computer science),Artificial intelligence,Data envelopment analysis,Data mining algorithm,Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
Lingling Zhang127645.79
Jie Wei202.70
Anqiang Huang351.88
Jun Li426646.20
Peng Zhang513150.22