Paper Info
Title
Validity Evaluation For The Data Used For Artificial Intelligence System
Abstract
The data used to develop an AI system shall reflect the phenomena of the real-world sufficiently. This draws out a need to evaluate the validity of the data. This work has proposed a data validity evaluation method. To evaluate the data validity, the three steps of data preparation, data clustering, and validation are performed. To apply a data clustering algorithm is the main idea of the proposed data validity evaluation method. Analyzing the results from the data clustering in various perspectives leads us to evaluate the data validity of certain training data. Through a comparative study, the applicability of the proposed method is demonstrated.
Year
DOI
Venue
2019
10.1007/978-3-030-29516-5_28
INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 1
Keywords
DocType
Volume
Artificial intelligence, Data validity, Data clustering
Conference
1037
ISSN
Citations 
PageRank 
2194-5357
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Han Seong Son111.02