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On a strategy to develop robust and simple tariffs from motor vehicle insurance data
Christmann, Andreas - 2004
The goals of this paper are twofold: we describe common features in data sets from motor vehicle insurance companies and we investigate a general strategy which exploits the knowledge of such features. The results of the strategy are a basis to develop insurance tariffs. The strategy is applied...
Persistent link: https://www.econbiz.de/10010306241
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Towards decision analytics in product portfolio management
Otten, Sjors; Spruit, Marco; Helms, Remko - In: Decision Analytics 2 (2015) 1, pp. 1-25
industry. Three DM-techniques were selected: Dependency Modeling, Change and Deviation Detection, and Classification. Of these … three techniques, two were found to be of complementary value in a PPM-context, Dependency modeling and Classification … algorithm to visualize the data-driven product classifications in a standard portfolio matrix which portfolio managers can …
Persistent link: https://www.econbiz.de/10011656495
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A comparative analysis of machine learning methods for classification type decision problems in healthcare
Emanet, Nahit; Öz, Halil R.; Bayram, Nazan; Delen, Dursun - In: Decision Analytics 1 (2014) 1, pp. 1-20
Advanced analytical techniques are gaining popularity in addressing complex classification type decision problems in …
Persistent link: https://www.econbiz.de/10011656508
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Data Mining Approach for Predicting Student Performance
Osmanbegovic, Edin; Suljic, Mirza - In: Economic Review: Journal of Economics and Business 10 (2012) 1, pp. 3-12
Although data mining has been successfully implemented in the business world for some time now, its use in higher education is still relatively new, i.e. its use is intended for identification and extraction of new and potentially valuable knowledge from the data. Using data mining the aim was...
Persistent link: https://www.econbiz.de/10011985060
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Developing a prediction model for customer churn from electronic banking services using data mining
Keramati, Abbas; Ghaneei, Hajar; Mirmohammadi, Seyed … - In: Financial Innovation 2 (2016) 10, pp. 1-13
Background: Given the importance of customers as the most valuable assets of organizations, customer retention seems to be an essential, basic requirement for any organization. Banks are no exception to this rule. The competitive atmosphere within which electronic banking services are provided...
Persistent link: https://www.econbiz.de/10011808217
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A Multi-Label Machine Learning Approach to Support Pathologist's Histological Analysis
Azzini, Antonia; Cortesi, Nicola; Marrara, Stefania; … - 2019
, if properly extracted, may be suitable for searching, classification, or statistical analysis. For this reason, in order … work presents a Machine Learning Multi-Label approach for the classification of the information extracted from the …
Persistent link: https://www.econbiz.de/10012141490
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Algoritmic methods for segmentation of time series: An overview
Lovrić, Miodrag; Milanović, Marina; Stamenković, Milan - In: Journal of Contemporary Economic and Business Issues 1 (2014) 1, pp. 31-53
Adaptive and innovative application of classical data mining principles and techniques in time series analysis has resulted in development of a concept known as time series data mining. Since the time series are present in all areas of business and scientific research, attractiveness of mining...
Persistent link: https://www.econbiz.de/10011557598
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Testing the significance of calendar effects
Hansen, Peter Reinhard; Lunde, Asger - 2003
When evaluating the significance of calendar effects, such as those associated with Monday and January, it is necessary to control for all possible calendar effects to avoid spurious results. The downside of having to control for a large number of possible calendar effects is that it diminish...
Persistent link: https://www.econbiz.de/10010318856
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Stock picking via nonsymmetrically pruned binary decision trees
Andriyashin, Anton - 2008
researchers. In this study stock picking is implemented via binary classification trees. Optimal tree size is believed to be the …
Persistent link: https://www.econbiz.de/10010263732
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Insurance: an R-Program to Model Insurance Data
Marin-Galiano, Marcos; Christmann, Andreas - 2004
Data sets from car insurance companies often have a high-dimensional complex dependency structure. The use of classical statistical methods such as generalized linear models or Tweedie?s compound Poisson model can yield problems in this case. Christmann (2004) proposed a general approach to...
Persistent link: https://www.econbiz.de/10010296633