Page 94 - Invited Paper Session (IPS) - Volume 1
P. 94
IPS98 Luciana D. V. at al.
4. Chawla, N.V. (2005) Data mining for imbalanced datasets: An overview.
In: Data mining and knowledge discovery handbook. Springer US, p.
853-867.
5. Dalla Valle, L. (2017a) Data Integration. in: Wiley StatsRef: Statistics
Reference Online, ed. M. Davidian, B. Everitt, R. Kenett, G. Molenberghs,
W. Piegorsch and F. Ruggeri, John Wiley & Sons, pp. 1-6.
6. Dalla Valle, L. (2017b) Copula and Vine Modeling for Finance, in: Wiley
StatsRef: Statistics Reference Online, ed. M. Davidian, B. Everitt, R. Kenett,
G. Molenberghs, W. Piegorsch and F. Ruggeri, John Wiley & Sons, pp. 1-
5.
7. Dalla Valle, L. (2017c) Copulas and Vines, in: Wiley StatsRef: Statistics
Reference Online, ed. M. Davidian, B. Everitt, R. Kenett, G. Molenberghs,
W. Piegorsch and F. Ruggeri, John Wiley & Sons, pp. 1-5.
8. Dalla Valle, L. (2016) The Use of Official Statistics in Self-Selection Bias
Modeling. Journal of Official Statistics, Vol. 32, No. 4, pp. 887–905.
9. Dalla Valle, L. (2014). Official statistics data integration using copulas.
Quality Technology and Quantitative Management; 11(1), 111-131.
10. Dalla Valle, L. and Kenett, R.S. (2015). Official Statistics Data Integration
for Enhanced Information Quality, Quality and Reliability Engineering
International, Vol. 31, No. 7, pp. 1281-1300.
11. Daniel, B. (2015). Big Data and analytics in higher education:
opportunities and challenges. British Journal of Educational Technology,
46(5), pp. 904-920.
12. Dong, X.L. and Srivastava, D. (2015). Big Data Integration. Synthesis
Lectures on Data Management. Morgan Claypool Publishers.
13. Foresti, G., Guelpa, F. and Trenti, S. (2012). Enterprises in a globalized
context and public and private statistical setups. SIS Scientific Meeting.
14. GeNIe. Decision Systems Laboratory. University of Pittsburgh: USA, 2006.
http://genie.sis.pitt.edu
15. Jensen, F. V. (2001). Bayesian Networks and Decision Graphs, Springer.
16. Kenett, R.S. and Raanan, Y. (2010). Operational Risk Management: a
practical approach to intelligent data analysis, John Wiley and Sons,
Chichester, UK.
17. Kenett, R.S. and Salini, S. (2011). Modern Analysis of Customer
Satisfaction Surveys: with applications using R, John Wiley and Sons,
Chichester: UK.
18. Kenett, R.S. and Shmueli, G. (2016). Information Quality: The Potential of
Data and Analytics to Generate Knowledge, John Wiley and Sons.
www.wiley.com/go/information_quality.
19. Koski, T. and Noble, J. (2009). Bayesian Networks – An Introduction, John
Wiley and Sons, Chichester, UK.
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