NDLI: The use of genetic algorithms and neural networks to approximate missing data in database

Content Provider	IEEE Xplore Digital Library
Author	Mussa Abdella Tshilidzi Marwala
Copyright Year	2005
Description	Author affiliation: Sch. of Electr. & Inf. Eng., Witwatersrand Univ., Johannesburg, South Africa (Mussa Abdella; Tshilidzi Marwala)
Abstract	Missing data creates various problems in analysing and processing data in databases. In this paper we introduce a new method aimed at approximating missing data in a database using a combination of genetic algorithms and neural networks. The proposed method uses genetic algorithm to minimise an error function derived from an auto-associative neural network. Multi-layer perceptron (MLP) and radial basis function (RBF) networks are employed to train the neural networks. Our focus also lies on the investigation of using the proposed method in accurately predicting missing data as the number of missing cases within a single record increases. It is observed that there is no significant reduction in accuracy of results as the number of missing cases in a single record increases. It is also found that results obtained using RBF are superior to MLP.
Starting Page	207
Ending Page	212
File Size	896460
Page Count	6
File Format	PDF
ISBN	0780391225
DOI	10.1109/ICCCYB.2005.1511574
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-13
Publisher Place	Mauritius
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Data analysis Databases Instruments Neural networks Africa Data engineering Sensor systems Genetic algorithms Information analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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