Estimating Null Values in Database Using CBR and Supervised Learning Classification
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 6
Abstract
Database and database systems have been used widely in almost, all life activities. Sometimes missed data items are discovered as missed or null values in the database tables. The presented paper proposes a design for a supervised learning system to estimate missed values found in the university database. The values of estimated data items or data it items used in estimation are numeric and not computed. The system performs data classification based on Case-Based Reasoning (CBR) to estimate loosed marks of students. A data set is used in training the system under the supervision of an expert. After training the system to classify and estimate null values under expert supervision, it starts classification and estimation of null data by itself.
Authors and Affiliations
Khaled ElSayed
Keywords
Related Articles
- EP ID EP147443
- DOI 10.14569/IJACSA.2014.050603
- Views 106
- Downloads 0
A New Cryptosystem using Vigenere and Metaheuristics for RGB Pixel Shuffling
In this article we present a new approach using Vigenere and metaheuristics to resolve a problem of pixel shuffling to cipher an image. First the image is adapted to match the resolution system by transforming it to a li...
Sentiment Analysis using SVM: A Systematic Literature Review
The world has revolutionized and phased into a new era, an era which upholds the true essence of technology and digitalization. As the market has evolved at a staggering scale, it is must to exploit and inherit the advan...
ASSA: Adaptive E-Learning Smart Students Assessment Model
Adaptive e-learning can be improved through measured e-assessments that can provide accurate feedback to instructors. E-assessments can not only provide the basis for evaluation of the different pedagogical methods used...
B2C E-Commerce Fact-Based Negotiation Using Big Data Analytics and Agent-Based Technologies
The focus of this study is application of intelligent agent in negotiation between buyer and seller in B2C Commerce using big data analytics. The developed model is used to conduct negotiations on behalf of prospective b...
CBRm: Case based Reasoning Approach for Imputation of Medium Gaps
This paper presents a new algorithm called CBRm for univariate time series imputation of medium-gaps inspired by the algorithm called Case Based Reasoning Imputation (CBRi) for short-gaps. The performance of the proposed...