Recent publications
Journal papers
1. Lutu, P.
E. N. & Engelbrecht A.P. (2013) Positive-Versus-Negative classification for
model aggregation in predictive data
mining, Institute for Operations Research
and the Management Sciences Journal on Computing (INFORMS JOC), 25(4), 792-807.
2. Lutu, P. E. N. & Engelbrecht
A.P. (2013) Base model combination algorithm for resolving tied predictions for
k-nearest neighbor aggregate models, Institute for Operations Research and the
Management Sciences Journal on Computing (INFORMS JOC), 25 (3), 517-526.
3.
Lutu, P. E. N. & Engelbrecht,
A. P. (2012) Using OVA modeling to improve
classification performance for large datasets. Expert Systems With Applications,
39 (4) 4358-4376.
4. Motjolopane,
R. & Lutu, P.E.N. (2012) Improving data quality in the banking
supervisory data of Southern Africa central banks. Electronic Journal of Information Systems in
Developing Countries (EJIDC), 50. (also appears in the Proceedings of the International Development Informatics Association
Conference, IDIA 2010, Cape Town, November 2010 )
5. Lutu,
P.E.N. & Engelbrecht, A.P. (2010) A decision-rule
based method for feature selection in predictive data mining. Expert
systems with applications, 37, 602-609.
6. Lutu,
P.E.N & Engelbrecht,
A.P., (2006) A comparative study of
sample selection methods for classification.
SACJ: Joint Special Issue ARIMA & SACJ - Advances in End-User Data Mining Techniques,
36, 69-85
Conference papers
1. Lutu, P.E.N. (2013)
Fast feature selection for Naïve Bayes classification
in data stream mining, in S.I. Ao, L. Gelman, D.W.L. Hukins, A. Hunter and
A.M. Korsunsky (eds.) Proceedings of the World Congress on Engineering (WCE 2013),
London, U.K. July 2013, vol. III, 1549-1554.
2. Lutu, P.E.N. (2012)
Generation of an empirical theory for positive-versus-negative ensemble
classification. Proceedings of the Silver
2012 Workshop, collocated with the ECML-PKDD 2012 conference, Bristol,
United Kingdom, 24-28 September, 2012.
3. Lutu, P.E.N. (2012)
Replication of base models to improve the performance of
positive-versus-negative classification ensembles for predictive data mining,
presentation at the 41st Operations
Research Society of South Africa - ORSSA 2012 National Conference,
Johannesburg, 17-19 September, 2012.
4. Lutu,
P.E.N. (2011) Empirical comparison of four classifier fusion strategies for
positive-versus-negative ensembles. Proceedings
of the South
African Institute of Computer Science and Information Technology Conference, SAICSIT 2011,
October 3-5 2011, Cape Town, South Africa. ACM International Conference
proceedings.
5. Lutu,
P.E.N. (2011) Using confusion matrices and confusion graphs to design ensemble
classification models from large datasets, in A. Cuzzocrea
and U. Dayal (eds.) Proceedings of the 13th International Conference on Data
warehousing and Knowledge Discovery, DaWak 2011, Toulouse,
France, August / September 2011, Lecture
Notes in Computer Science, LNCS 6862, 301-315.
6. Motjolopane,
R. & Lutu, P.E.N. (2010) Improving data quality in the banking
supervisory data of Southern Africa central banks. Proceedings of the
International Development Informatics Association Conference, IDIA 2010, Cape Town, November 2010.
7. Lutu,
P.E.N. & Meyer, B. (2008) An
exploratory study of the adoption and usage of business intelligence in public
sector organisations in South Africa. Proceedings
of the IFIP WG 9.4 Workshop,
Pretoria, September 2008.
8. Adigun, E.A & Lutu, P.E.N.
(2006) Mobile and wireless technology,
making a world of difference. Proceedings of the Conference on Community
Informatics for Developing Countries: Understanding and Organising for a
Participatory Future Information Society (CIDC2006) 31 August -2 september
2006, Cape Town, South Africa.
9. Lutu,P.E.N. (2002) An integrated approach for scaling
up classification and prediction
algorithms for data mining. proceedings of the South African Institute of Computer Science and Information
Technology Conference, SAICSIT 2002.
ACM
International Conference Proceedings.
10. Lutu, P.E.N.
(2001) Optimal multi-splitting of numeric ranges for decision tree induction. International Conference on Operations Research (ICORD 2001), May
2001.
Chapters in books
1. Lutu, P.E.N. (2006)
Database sampling for data mining in: Encyclopedia for Data
Warehousing and Data Mining, Wang, J. Editor, 2006.