Tim Chenoweth
Tim Chenoweth
Associate Professor of Information Systems, Boise State University
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Cited by
Cited by
Application of protection motivation theory to adoption of protective technologies
T Chenoweth, R Minch, T Gattiker
2009 42nd Hawaii International Conference on System Sciences, 1-10, 2009
Seven key interventions for data warehouse success
T Chenoweth, K Corral, H Demirkan
Communications of the ACM 49 (1), 114-119, 2006
A multi-component nonlinear prediction system for the S&P 500 index
T Chenoweth, Z Obradović
Neurocomputing 10 (3), 275-290, 1996
Embedding technical analysis into neural network based trading systems
T Chenoweth, Z ObradoviĆ, SS Lee
Artificial intelligence applications on wall street, 523-541, 2017
Convincing DSS users that complex models are worth the effort
T Chenoweth, KL Dowling, RDS Louis
Decision Support Systems 37 (1), 71-82, 2004
A method for developing dimensional data marts
T Chenoweth, D Schuff, R St. Louis
Communications of the ACM 46 (12), 93-98, 2003
Automatic ARMA identification using neural networks and the extended sample autocorrelation function: a reevaluation
T Chenoweth, R Hubata, RDS Louis
Decision Support Systems 29 (1), 21-30, 2000
Wireless insecurity: examining user security behavior on public networks
T Chenoweth, R Minch, S Tabor
Communications of the ACM 53 (2), 134-138, 2010
Adaptive and maladaptive coping with an it threat
T Chenoweth, T Gattiker, K Corral
Information Systems Management 36 (1), 24-39, 2019
Expanding views of technology acceptance: seeking factors explaining security control adoption
T Chenoweth, R Minch, S Tabor
AMCIS 2007 Proceedings, 321, 2007
Technical trading rules as a prior knowledge to a neural networks prediction system for the S&P 500 index
T Chenowethl, Z Obradovic, S Lee
IEEE Technical Applications Conference and Workshops. Northcon/95 …, 1995
An explicit feature selection strategy for predictive models of the S&P 500 index
T Chenoweth, Z Obradovic
NeuroVe $ t Journal 3 (6), 14-21, 1995
Distance and prediction error variance constraints for ARMA model portfolios
T Chenoweth, K Dowling, R Hubata, R St. Louis
International Journal of Forecasting 20 (1), 41-52, 2004
A multi-component approach to stock market predictions
T Chenoweth, Z Obradovic
Proc. Third Int. Conf. on Artificial Intelligence Applications on Wall …, 1995
Should college instructors reveal their high functioning autism in the classroom?
G Kaupins, T Chenoweth, F Klein
Journal of Education for Business 95 (8), 534-540, 2020
Automated Feedback as a Convergence Tool
T Chenoweth, K Corral, K Scott
Journal of Information Systems Education 27 (1), 7-16, 2016
User security behavior on wireless networks: An empirical study
T Chenoweth, R Minch, S Tabor
2007 40th Annual Hawaii International Conference on System Sciences (HICSS …, 2007
Selection of Learning Algorithms for Trading Systems Based on Biased Estimators,"
Z Obradovic, T Chenoweth
Proceedings of the Conference on Adaptive Dis-tributed Parallel Computing …, 1996
The power of tests for equivalent ARMA models: The implications for practitioners
T Chenoweth, R Hubata, RDS Louis
Empirical Economics 29, 281-292, 2004
A neural network based system for predicting future returns for the S&P 500 stock index
T Chenoweth
Washington State University, 1996
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