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Automatic creation of polarity dictionaries is an important issue, as explanations of prediction models are often required in the financial industry. This paper proposes a novel method of developing an interpretable and predictable neural network model. The neural network model we built can extract polarity scores of concepts from documents. Furthermore, we can detect pairwise interactions between...
In this paper, we address the issues associated with setting-up of a new restaurant business. To strategize a new restaurant business, we propose a restaurant business framework which comprises of 3 most important tasks, namely, high frequency attributes, most crowded day and location of the restaurant. First, we identify the features/attributes of the restaurants in which the customers are most interested...
Along with the globalization of business, the opportunities and challenges in franchise business are increased. In order to ensure that the franchise industry grows stably, it has been always an important topic to forecast the franchise performance accurately. Thus, this study aims at utilizing Grey prediction as an analyze methodology to estimate the performance of US's franchise industry in order...
Data mining and analytics have played an important role in knowledge discovery and decision making/supports in the process industry over the past several decades. As a computational engine to data mining and analytics, machine learning serves as basic tools for information extraction, data pattern recognition and predictions. From the perspective of machine learning, this paper provides a review on...
Destiny is, to date, the most expensive digital game ever released with a total operating budget of over half a billion US dollars. It stands as one of the main examples of AAA titles, the term used for the largest and most heavily marketed game productions in the games industry. Destiny is a blend of a shooter game and massively multi-player online game, and has attracted dozens of millions of players...
User activity in five mobile games is found to be accurately described by stochastic processes related to recurrent event models in survival analysis. We specify four simple parametric models and methods to fit them to data which specify this process within day accuracy in the individual user level. This model implies commonly used population level retention metrics: retention, rolling retention and...
The purpose of this paper is to report on a one-year study granted early 2015 by ESA/ESTEC to Airbus Defence and Space to identify and analyse the main reliability models available for evaluating the failure rate of each EEE component used in space systems, in order to assess their suitability in the space context for developing an improved reliability prediction approach.
Based on the fact that there exist some fraud sale behaviors in some industries during the process of production and sales, this paper considers the credit risk forecasting problem of these industries. For credit risk research, most of the traditional methods are based on the financial indices or dummy variables; however, few literatures consider the moral element, such as sales fraud, and so on....
In order to predict the Beijing urban distribution amount, a grey theory model is used in this paper. Based on the former study and the current situation of Beijing urban distribution system, the paper used gray theory model GM (1, 1) and qualitative analysis to predict the amount by using the samples of goods classification. Empirical results show that the freight of primary industry of Beijing remains...
The reasonable scale of logistics parks should be taken into account at the beginning of the construction of logistics parks, since it is the resource of all the other works of the logistics parks, such as planning, evaluating and so on. In this paper, the effects of industrial structure on the scale of logistics parks are analysed through qualitative and quantitative aspects. In the qualitative aspect,...
This paper investigates sources of crime data mining, methodologies for knowledge discovery, by pointing out which forms knowledge discovery is suitable for which methodology. Furthermore, it identifies which data sources should be used for which knowledge discovery form in crime data mining. Similarities and differences between crime data mining methodologies show that some forms of knowledge discovery...
Many factors may affect the demand of regional logistics. But we could not list all the factors and could not quantitatively analysis the influencing degree of each factor. In traditional forecast methods, many influence factors may be ignored or predigested, which may warp the forecasting result. Set pair clustering analysis may solve the problem of neglecting some influencing factors. In this paper,...
With the development of Chinese stock market, more and more attentions have been paid to the prediction of financial risk of listed companies. So far, our studies on financial risk prediction model have achieved a lot, but the rest ill existed some faults because of the limitation of surrounding conditions, the most prominent of which was the simplification of variables selection. Theoretically, earnings...
This paper samples 30 listed companies which were the first time to ST (special treatment) because of abnormal financial situation after the announcement of 2008 Annual Report. The paper sets out from the perspective of financial indicators, introduces a new indicator of "total stock market value / total liabilities", and establishes the financial distress alert model with the use of Binary...
Total productive value of Real estate is a crucial part of the Service Industry, which directly affects the value of GDP. It is significant to predict the added value of the total productive value of Real estate, by historical observed data and dynamic regression equations. Compare dynamic regression equations with genetic algorithm to regression equation from exponential regression and linear regression...
In the paper an information aspect of corporate governance and strategic management is considered. Relying on analysis of merits and limitations of current developments the concept of performance management information support system and the appropriate modeling approach are proposed. Finally, the possibilities of use of analytical information systems for corporate governance and strategic management...
This article intends to discuss the possibility of how to quickly improve the function of adaptive prediction direction for scenario analysis (SA) in technology-intensive industries. Therefore, this study is based on SA theory that combines the technology life cycle (TLC) viewpoint with the goal-oriented properties of path analysis model (PAM) to build an adapted SA for the purpose of dynamic technology...
The operating status of a forest industry enterprise is disclosed periodically for viability. As a result, the manager usually only get information about the operating decision. An employer may be in after the formal financial statement has been published. If the employer executives intentionally package financial statements with the purpose of hiding the actual status of the forestry industry enterprise,...
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