J. Hansen

发表

MACHINE LEARNING METHODS FOR DETECTING PATTERNS OF MANAGEMENT FRAUD

Conan C. Albrecht, DAVID G. WHITING, JAMES V. HANSEN, 2012, Comput. Intell..

Learning experiments with genetic optimization of a generalized regression neural network

James V. Hansen, Rayman D. Meservy, R. D. Meservy, 1996, Decis. Support Syst..

Inducing rules for expert system development: an example using default and bankruptcy data

James V. Hansen, William F. Messier, J. V. Hansen, 1988 .

Partially adaptive robust estimation of regression models and applications

James V. Hansen, James B. McDonald, Robert S. Turley, 2006, Eur. J. Oper. Res..

Genetic Programming Experiments with Standard and Homologous Crossover Methods

James V. Hansen, J. Hansen, 2003, Genetic Programming and Evolvable Machines.

Developing knowledge structures: A comparison of a qualitative-response model and two machine-learning algorithms

James V. Hansen, Gary J. Koehler, Jane F. Mutchler, 1993, Decis. Support Syst..

Mathematical approaches to evaluating information updating intervals

James V. Hansen, Lester E. Heitger, J. Hansen, 1979 .

Artificial Intelligence and Generalized Qualitative‐Response Models: An Empirical Test on Two Audit Decision‐Making Domains

James V. Hansen, James B. McDonald, James B. McDonald, 1992 .

Database management and design (2nd ed.)

James V. Hansen, Gary W. Hansen, J. Hansen, 1995 .

Decision model incorporating utility theory and measurement of social values applied to nuclear waste management

James V. Hansen, J. W. Litchfield, L. C. Beck, 1975 .

Data Communications: Concepts And Controls

James V. Hansen, Marshall B. Romney, J. V. Hansen, 1986 .

WITHDRAWN: Enriched Data Representation for Mining Financial Fraud with Rule Ensembles

James V. Hansen, James B. McDonald, Conan C. Albrecht, 2011 .

Scheduling the monitoring of EDP controls in online systems

James V. Hansen, William F. Messier, J. Hansen, 1983, International Journal of Computer & Information Sciences.

Expert systems for decision support in EDP auditing

James V. Hansen, William F. Messier, J. Hansen, 1982, International Journal of Computer & Information Sciences.

People-oriented computer systems: The computer in crisis: Van Nostrand Reinhold, 1975, 300 pp., $13.95

James V. Hansen, J. Hansen, 1975 .

A Computer Aid for the Analysis of Complex Systems

James V. Hansen, Lynn J. McKell, J. V. Hansen, 1980, Computer/law journal.

Control and Audit of Electronic Data Interchange

James V. Hansen, Ned C. Hill, Ned C. Hill, 1989, MIS Q..

Forensic Data Mining: Finding Intrusion Patterns in Evidentiary Data

James V. Hansen, Rayman D. Meservy, R. D. Meservy, 2010, AMCIS.

A relational approach to decision support for EDP auditing

James V. Hansen, William F. Messier, J. Hansen, 1984, CACM.

Genetic search methods in air traffic control

James V. Hansen, J. Hansen, 2004, Comput. Oper. Res..

A knowledge-based expert system for auditing advanced computer systems☆

James V. Hansen, William F. Messier, J. Hansen, 1986 .

Case-Based Reasoning: Application Techniques for Decision Support

James V. Hansen, Rayman D. Meservy, Larry E. Wood, 1995 .

Decision-oriented frameworks for management information systems design

James V. Hansen, Lynn J. McKell, Lester E. Heitger, 1977, Inf. Process. Manag..

A Generalized Qualitative-Response Model and the Analysis of Management Fraud

William F. Messier, James B. McDonald, J. V. Hansen, 1996 .

A Case Study and Field Evaluation of EDP-XPERT

James V. Hansen, William F. Messier, J. Hansen, 1992 .

Case-based reasoning and risk assessment in audit judgment

Eric L. Denna, L. Wood, R. D. Meservy, 1992 .

Concepts of single-paradigm object-oriented development, with application to a manufacturing information system

James V. Hansen, Robert B. Jackson, William C. Giauque, 1996, IEEE Trans. Syst. Man Cybern. Part A.

Data mining of time series using stacked generalizers

James V. Hansen, Ray D. Nelson, R. Nelson, 2002, Neurocomputing.

Time-series analysis with neural networks and ARIMA-neural network hybrids

James V. Hansen, Ray D. Nelson, R. Nelson, 2003, J. Exp. Theor. Artif. Intell..

Computer-aided Modelling of Decision-support Systems

James V. Hansen, Lester E. Heitger, Lynn McKell, 1978 .

Structural modelling of information systems

James V. Hansen, Lester E. HElTGER, J. Hansen, 1976 .

An approximate user-complexity measure for relational query language systems

James V. Hansen, Gary W. Hansen, J. Hansen, 1991, Data Knowl. Eng..

Genetic programming for prevention of cyberterrorism through dynamic and evolving intrusion detection

James V. Hansen, Rayman D. Meservy, Paul Benjamin Lowry, 2007, Decis. Support Syst..

Some evidence on forecasting time-series with support vector machines

James V. Hansen, James B. McDonald, Ray D. Nelson, 2006, J. Oper. Res. Soc..

Audit considerations in distributed processing systems

James V. Hansen, J. Hansen, 1983, CACM.

Time Series Prediction With Genetic‐Algorithm Designed Neural Networks: An Empirical Comparison With Modern Statistical Models

James B. McDonald, J. V. Hansen, James V. Hansen, 1999, Comput. Intell..

Number 22

J. V. Hansen, K. S. Vaisla, J. McDonald, 2018 .

ISMS: Computer-Aided Analysis for Design of Decision-Support Systems

James V. Hansen, Lynn J. McKell, Lester E. Heitger, 1979 .

Forecasting and recombining time-series components by using neural networks

J. V. Hansen, R. D. Nelson, R. Nelson, 2003, J. Oper. Res. Soc..

Neural networks and traditional time series methods: a synergistic combination in state economic forecasts

James V. Hansen, Ray D. Nelson, R. Nelson, 1997, IEEE Trans. Neural Networks.

Application of artificial intelligence to accounting, tax, and audit services: Research at Brigham Young University

Eric L. Denna, James V. Hansen, Rayman D. Meservy, 1992 .

A Generalized Model for Predictive Data Mining

James V. Hansen, James B. McDonald, James B. McDonald, 2002, Inf. Syst. Frontiers.

An Adaptive Learning Model Which Accommodates Asymmetric Error Costs and Choice-Based Samples

Rayman D. Meservy, James V. Hansen, James B. McDonald, 1995 .

An Ontological Approach to Evaluating Standards in E-Commerce Platforms

James V. Hansen, Conan C. Albrecht, Douglas L. Dean, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Artificial neural networks: Foundations and application to a decision problem

James V. Hansen, William F. Messier, J. Hansen, 1991 .

A Research and Development Decision Model Incorporating Utility Theory and Measurement of Social Values

James V. Hansen, James W. Litchfield, Larry C. Beck, 1976, IEEE Transactions on Systems, Man, and Cybernetics.

Marketplace and technology standards for B2B e-commerce: progress, challenges, and the state of the art

James V. Hansen, Conan C. Albrecht, Douglas L. Dean, 2005, Inf. Manag..

Models for evaluating information updating intervals

James V. Hansen, Lester E. Heitger, J. Hansen, 1977, Inf. Sci..

The application of model checking for securing e-commerce transactions

James V. Hansen, Paul Benjamin Lowry, Bonnie Brinton Anderson, 2006, Commun. ACM.

An application and comparison of some flexible parametric and semiparametric qualitative-response models with heteroskedasticity

James V. Hansen, James B. McDonald, James B. McDonald, 2000, Int. J. Syst. Sci..

Comparative performance of backpropagation networks designed by genetic algorithms and heuristics

James V. Hansen, J. Hansen, 1998, Intell. Syst. Account. Finance Manag..

Some experimental evidence on the performance of GA-designed neural networks

James V. Hansen, James B. McDonald, J. Hansen, 2001, J. Exp. Theor. Artif. Intell..

Task allocation in distributed processing systems

James V. Hansen, William C. Giauque, J. Hansen, 1986 .