A prediction method for the cellphone replacement: Rough set-based analysis. (19th May 2018)
- Record Type:
- Journal Article
- Title:
- A prediction method for the cellphone replacement: Rough set-based analysis. (19th May 2018)
- Main Title:
- A prediction method for the cellphone replacement: Rough set-based analysis
- Authors:
- Deng, Weibin
Wang, Haijin
Dai, Shimin - Abstract:
- Abstract: Owing to the communication customers' data are large scale, inconsistent and incomplete, it is hard to predict who will replace their cellphones in the near future. In order to solve this problem, a prediction method based on dominance-based rough set approach (DRSA) is proposed in this paper. Firstly, the customers' features are extracted based on experts' knowledge. So, we get the customer decision table. After that, the maximum certainty of each class union is used as the corresponding variable threshold value to control the decision rule extraction program. Therefore, the extracted decision rules can reflect the data characteristics effectively. In this process, it can learn knowledge automatically without setting the threshold values of consistency level depending on prior domain knowledge or by a complex tail-and-error procedure. Additionally, it strengthens the performance for dealing with inconsistent information systems. The efficiency of this method is illustrated by simulation experiments.
- Is Part Of:
- Journal of discrete mathematical sciences & cryptography. Volume 21:Number 4(2018)
- Journal:
- Journal of discrete mathematical sciences & cryptography
- Issue:
- Volume 21:Number 4(2018)
- Issue Display:
- Volume 21, Issue 4 (2018)
- Year:
- 2018
- Volume:
- 21
- Issue:
- 4
- Issue Sort Value:
- 2018-0021-0004-0000
- Page Start:
- 881
- Page End:
- 893
- Publication Date:
- 2018-05-19
- Subjects:
- Cellphone users -- Precision marketing -- Domain knowledge -- Data-driven data mining -- Dominance-based rough set approach
Computer science -- Mathematics -- Periodicals
Cryptography -- Periodicals
Computer science -- Mathematics
Cryptography
Periodicals
004.0151 - Journal URLs:
- http://www.tandfonline.com/loi/tdmc20 ↗
http://ejournals.ebsco.com/direct.asp?JournalID=714493 ↗
http://www.tarupublications.com/journals/jdmsc/scope-of%20the-journal.htm ↗ - DOI:
- 10.1080/09720529.2018.1491099 ↗
- Languages:
- English
- ISSNs:
- 0972-0529
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 9362.xml