Ranking of Evaluation Targets Based on Complex Sequential Data

Shigeaki Sakurai
Additional contact information
Shigeaki Sakurai: Software and AI Technology Center, Toshiba Digital Solutions Corporation, Kawasaki, Japan

International Journal of Data Warehousing and Mining (IJDWM), 2017, vol. 13, issue 4, 19-32

Abstract: This paper proposes a method that arranges evaluation targets based on their complex sequential data. The data is composed of numerical one and text one. This method focuses on both change ratios of the numerical sequential data and the occupation ratios of the text sequential data. It generates a ranking model of the evaluation targets. The model can extract important evaluation targets. This paper applies the method to the data composed of stock price information and news articles. The former one corresponds to the numerical sequential data and the latter one corresponds to the text sequential data. Lastly, this paper compares the method with a method based on random selection and shows the effect of the proposed method.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJDWM.2017100102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jdwm00:v:13:y:2017:i:4:p:19-32

Access Statistics for this article

International Journal of Data Warehousing and Mining (IJDWM) is currently edited by Eric Pardede

More articles in International Journal of Data Warehousing and Mining (IJDWM) from IGI Global
Bibliographic data for series maintained by Journal Editor ().