Detecting corporate fraud and assessing the relative risk factors have been significant issues confronting the auditing profession for decades. This study therefore aims to apply a neural network system to predict fraud litigation for assisting accountants on audit strategy making. The empirical results show that neural network provides not only a promising predicting accuracy, but also a bette...

This article attempts to quantitatively measure the various inouences on mobile phone adoption at the bottom of the pyramid (BoP) in Bangladesh, Pakistan, India, Sri Lanka, the Philippines, and Thailand. Based on an existing theoretical framework, adoption is modeled by atting a logit model to a large sixcountry dataset. The study ands evidence for the importance of social inouence in mobile ad...

Maximum and minimum computed across channels is used to monitor the Electroencephalogram signals for possible change of the eye state. Upon detection of a possible change, the last two seconds of the signal is passed through Multivariate Empirical Mode Decomposition and relevant features are extracted. The features are then fed into Logistic Regression and Artificial Neural Network classifiers ...

Semantic network theories of knowledge organization support the idea that recall of organized information depends on how well a learner encodes the connections between the items in the semantic network. However, there is need for more research into what this implies for configuring instruction so that strong semantic network learning is supported with the goal of creating an integrated mental m...

0957-4174/$ see front matter 2010 Elsevier Ltd. A doi:10.1016/j.eswa.2010.04.077 * Corresponding author. Tel.: +852 2616 8245; fax: E-mail addresses: [email protected] (G. Cui), mlw [email protected] (G. Zhang). Selecting good variables to build forecasting models is a major challenge for direct marketing given the increasing amount and variety of data. This study adopts the Bayesian variable sel...

Propositions 4.1 and 4.3 in [Yihong Du and Zhigui Lin, SIAM J. Math. Anal., 42 (2010), pp. 377–405] contain some mistakes. In this erratum, we point out the correct versions of these results.

Longitudinal network data recording the moment at which ties appear, change, or disappear are increasingly available. Event history models can be used to analyze the dynamics of time-stamped network data. This paper adapts the discrete-time event history model to social network data. A discrete-time event history model can easily incorporate a multilevel design and time-varying covariates. A mu...

Decisions concerning product differentiation lie at the interface of marketing and operations management. This paper addresses the influence of consumer preferences and operations costs on the optimal number and price of variants of a differentiated product. We represent consumer preferences with the logit model and market segments with a Bayesian model. We also break operations costs into over...

This paper proposes a novel user intention simulation method which is a data-driven approach but able to integrate diverse user discourse knowledge together to simulate various type of users. In Markov logic framework, logistic regression based data-driven user intention modeling is introduced, and human dialog knowledge are designed into two layers such as domain and discourse knowledge, then ...