An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset

Ch Sanjeev Kumar Dash, Ajit Kumar Behera, Sarat Chandra Nayak, Satchidananda Dehuri, Sung Bae Cho

Research output: Contribution to journalArticle

Abstract

This paper presents an integrated approach by considering chemical reaction optimization (CRO) and functional link artificial neural networks (FLANNs) for building a classifier from the dataset with missing value, inconsistent records, and noisy instances. Here, imputation is carried out based on the known value of two nearest neighbors to address dataset plagued with missing values. The probabilistic approach is used to remove the inconsistency from either of the datasets like original or imputed. The resulting dataset is then given as an input to boosted instance selection approach for selection of relevant instances to reduce the size of the dataset without loss of generality and compromising classification accuracy. Finally, the transformed dataset (i.e., from non-imputed and inconsistent dataset to imputed and consistent dataset) is used for developing a classifier based on CRO trained FLANN. The method is evaluated extensively through a few bench-mark datasets obtained from University of California, Irvine (UCI) repository. The experimental results confirm that our preprocessing tasks along with integrated approach can be a promising alternative tool for mitigating missing value, inconsistent records, and noisy instances.

Original languageEnglish
Article number1950013
JournalInternational Journal on Artificial Intelligence Tools
Volume28
Issue number3
DOIs
Publication statusPublished - 2019 May 1

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Chemical reactions
Classifiers
Neural networks

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

Dash, Ch Sanjeev Kumar ; Behera, Ajit Kumar ; Nayak, Sarat Chandra ; Dehuri, Satchidananda ; Cho, Sung Bae. / An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset. In: International Journal on Artificial Intelligence Tools. 2019 ; Vol. 28, No. 3.
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An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset. / Dash, Ch Sanjeev Kumar; Behera, Ajit Kumar; Nayak, Sarat Chandra; Dehuri, Satchidananda; Cho, Sung Bae.

In: International Journal on Artificial Intelligence Tools, Vol. 28, No. 3, 1950013, 01.05.2019.

Research output: Contribution to journalArticle

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