Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms

Nthabiseng Hlalele; Fulufhelo Nelwamondo; Tshilidzi Marwala

doi:10.1007/978-3-642-03040-6_59

Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms

Nthabiseng Hlalele
, Fulufhelo Nelwamondo
, Tshilidzi Marwala

University of the Witwatersrand
Harvard University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

Abstract

This paper presents a method of imputing missing data that combines principal component analysis and neuro-fuzzy (PCA-NF) modeling in conjunction with genetic algorithms (GA). The ability of the model to impute missing data is tested using the South African HIV sero-prevalence dataset. The results indicate an average increase in accuracy from 60 % when using the neuro-fuzzy model independently to 99 % when the proposed model is used.

Original language	English
Title of host publication	Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
Pages	485-492
Number of pages	8
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-03040-6_59
Publication status	Published - 2009
Externally published	Yes
Event	15th International Conference on Neuro-Information Processing, ICONIP 2008 - Auckland, New Zealand Duration: 25 Nov 2008 → 28 Nov 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5507 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Neuro-Information Processing, ICONIP 2008
Country/Territory	New Zealand
City	Auckland
Period	25/11/08 → 28/11/08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-03040-6_59

Cite this

Hlalele, N., Nelwamondo, F., & Marwala, T. (2009). Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms. In Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers (PART 2 ed., pp. 485-492). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5507 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-03040-6_59

Hlalele, Nthabiseng ; Nelwamondo, Fulufhelo ; Marwala, Tshilidzi. / Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms. Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 2. ed. 2009. pp. 485-492 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms",

abstract = "This paper presents a method of imputing missing data that combines principal component analysis and neuro-fuzzy (PCA-NF) modeling in conjunction with genetic algorithms (GA). The ability of the model to impute missing data is tested using the South African HIV sero-prevalence dataset. The results indicate an average increase in accuracy from 60 \% when using the neuro-fuzzy model independently to 99 \% when the proposed model is used.",

author = "Nthabiseng Hlalele and Fulufhelo Nelwamondo and Tshilidzi Marwala",

year = "2009",

doi = "10.1007/978-3-642-03040-6\_59",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers",

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}

Hlalele, N, Nelwamondo, F & Marwala, T 2009, Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms. in Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5507 LNCS, pp. 485-492, 15th International Conference on Neuro-Information Processing, ICONIP 2008, Auckland, New Zealand, 25/11/08. https://doi.org/10.1007/978-3-642-03040-6_59

Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms. / Hlalele, Nthabiseng; Nelwamondo, Fulufhelo; Marwala, Tshilidzi.
Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 2. ed. 2009. p. 485-492 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5507 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms

AU - Hlalele, Nthabiseng

AU - Nelwamondo, Fulufhelo

AU - Marwala, Tshilidzi

PY - 2009

Y1 - 2009

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AB - This paper presents a method of imputing missing data that combines principal component analysis and neuro-fuzzy (PCA-NF) modeling in conjunction with genetic algorithms (GA). The ability of the model to impute missing data is tested using the South African HIV sero-prevalence dataset. The results indicate an average increase in accuracy from 60 % when using the neuro-fuzzy model independently to 99 % when the proposed model is used.

UR - https://www.scopus.com/pages/publications/70349113868

U2 - 10.1007/978-3-642-03040-6_59

DO - 10.1007/978-3-642-03040-6_59

M3 - Conference contribution

AN - SCOPUS:70349113868

SN - 3642030394

SN - 9783642030390

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers

T2 - 15th International Conference on Neuro-Information Processing, ICONIP 2008

Y2 - 25 November 2008 through 28 November 2008

ER -

Hlalele N, Nelwamondo F, Marwala T. Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms. In Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 2 ed. 2009. p. 485-492. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-03040-6_59

Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms

Abstract

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UN SDGs

ASJC Scopus subject areas

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