Narrow search
Showing 1 - 10 of 1,868
Cover Image
Analysis of the Allocation Process of a Public Financial Incentive with Data Mining Techniques
Mariasole, Bannò; Marika, Vezzoli - In: L'industria (2012) 3, pp. 529-556
algorithms (Regression Trees), in this study we empirically inspect the complex relationship between Italian public financial …
Persistent link: https://www.econbiz.de/10011158110
Cover Image
Inducing Customers to Try New Goods
Acquisti, Alessandro - In: Review of Industrial Organization 44 (2014) 2, pp. 131-146
In recent years, progresses in data mining and business analytics have fostered the advent of recommender systems, behavioral advertising, and other ways of using consumer data to personalize offers and products. We investigate the incentives for sellers to invest in systems that allow the...
Persistent link: https://www.econbiz.de/10010864965
Cover Image
A Composite Strategy for the Legal and Ethical Use of Data Mining
Payne, Dinah; Landry, Brett J. L. - In: International Journal of Management, Knowledge and Learning 1 (2012) 1, pp. 27-43
individual privacy rights and the costs associated with the potential alteration of ‘traditional’ privacy rights. This paper …
Persistent link: https://www.econbiz.de/10010784053
Cover Image
Security Solutions for Privacy Preserving Improved Data Mining
STOICA, Marian; TRIF, Silvia; VISOIU, Adrian - In: Informatica Economica 17 (2013) 3, pp. 157-168
Approaches of data analysis in the context of Business Intelligence solutions are presented, when the data is scarce with respect to the needs of performing an analysis. Several scenarios are presented: usage of an initial dataset obtained from primary data as a reference for the quality of the...
Persistent link: https://www.econbiz.de/10011145576
Cover Image
On a strategy to develop robust and simple tariffs from motor vehicle insurance data
Christmann, Andreas - Institut für Wirtschafts- und Sozialstatistik, … - 2004
nonparametric approach based on a combination of kernel logistic regression and ¡support vector regression. …
Persistent link: https://www.econbiz.de/10009295203
Cover Image
An Exploration of Regression-Based Data Mining Techniques Using Super Computation
Davies, Antony - Department of Economics, George Washington University - 2008
Regression analysis is intended to be used when the researcher seeks to test a given hypothesis against a data set … very large. In these cases, researchers have resorted either to overt data mining techniques such as stepwise regression …, or covert data mining techniques such as running variations on regression models prior to running the final model (also …
Persistent link: https://www.econbiz.de/10009278114
Cover Image
Estimating causal effects of credit decisions
Fahner, Gerald - In: International Journal of Forecasting 28 (2012) 1, pp. 248-260
In principle, making credit decisions under uncertainty can be approached by estimating the potential future outcomes that will result from the various decision alternatives. In practice, estimation difficulties may arise as a result of selection bias and limited historic testing. We review some...
Persistent link: https://www.econbiz.de/10010796144
Cover Image
Analyzing bearing faults in wind turbines: A data-mining approach
Kusiak, Andrew; Verma, Anoop - In: Renewable Energy 48 (2012) C, pp. 110-116
Bearings are an essential part of turbine generators and gearboxes. Dynamic and unpredictable stress causes the bearings to wear prematurely, leading to increased turbine maintenance costs, and could lead to sudden, expensive turbine breakdowns. Over temperature impacts the performance of...
Persistent link: https://www.econbiz.de/10011045103
Cover Image
Non-linearity of scorecard log-odds
McDonald, Ross A.; Sturgess, Matthew; Smith, Keith; … - In: International Journal of Forecasting 28 (2012) 1, pp. 239-247
The use of linear and log-linear models for scorecard construction is nearly universal. In this paper we address the question of non-linearity in the distribution of a scorecard’s inferred log-odds to score relationship. Linear scorecards are excellent and robust ranking tools, but the...
Persistent link: https://www.econbiz.de/10011051413
Cover Image
Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks
Tso, Geoffrey K.F.; Yau, Kelvin K.W. - In: Energy 32 (2007) 9, pp. 1761-1768
traditional regression analysis, decision tree and neural networks are considered. Model selection is based on the square root of … network models appear to be viable alternatives to the stepwise regression model in understanding energy consumption patterns …
Persistent link: https://www.econbiz.de/10010807471