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Auditing practices nowadays have to cope with an increasing number of fraudulent financial statements. Data mining techniques can facilitate auditors in accomplishing the task of detection of fraudulent financial statements (FFS). Considering the character of FFS, this paper designs a FFS detection model based on Naïve Bayes classifier. To perform the experiment, we choose 44 FFS according to the...
Cheating is a key issue in online games, as it reduces the satisfaction of honest players with a game and can result in reduced revenue for game providers. Cheat prevention techniques used today typically aim to identify that a particular known technique for cheating is in use, and then prevent that. In this paper we present two techniques for identifying cheating based purely on the results of games...
The rise of the social web has brought a series of privacy concerns and threats. In particular, data leakage is a risk that affects the privacy of not only companies but individuals. Although there are tools that can prevent data losses, they require a prior step that involves the sensitive data to be properly identified. In this paper, we propose a new automatic approach that applies Named Entity...
This paper mainly discusses the study of models for financial distress pre-warning, trying to select general financial indexes by principal component analysis, and meanwhile adding nonfinancial indexes which reflect corporate governance state to complement. Logit Model which is more accurate in prediction is selected, with the 56 company samples including both delisting pre-warned companies and counterparts...
The oppositional and antipodal forms of forces, entities and quantities have been envisaged in the context of practical and applied field of engineering and management science in order to create a more complete picture of reality. The interplay between entities and opposite entities is apparently fundamental for maintaining universal balance. A large number of problems in engineering and science cannot...
This paper reports on the commercialization of a business intelligence application deploying computational intelligence techniques. Theoretical foundations are included where appropriate, along with implementation and comparative benchmark results. Discussions on technology transfer mechanisms are included, identifying a generic framework for the commercialization of technology innovations, with a...
This paper presents the development and commercialisation of a computerised, non-invasive psychological profiling system (named `Silent Talker'), for the analysis of nonverbal behaviour. Nonverbal signals hold rich information about mental, behavioural and/or physical states the detection of which would be beneficial in a wide variety of commercial domains, particularly deception detection and security...
Financial distress prediction is of great importance to all stakeholders in order to enable better decision-making in evaluating firms. In recent years, the rate of bankruptcy has risen and it is becoming harder to estimate as companies become more complex and the asymmetric information between banks and firms increases. Although a great variety of techniques have been applied along the years, no...
Communication in project management plays a vital role, the article analyse deeply the factors that affect the project communications management, and quantify the various factors, Future more establish an index system to evaluate the effectiveness of project communication. Besides it introduce BP artificial neural network method to evaluate the effectiveness of project communication. Finally, the...
In this paper the study is on multi-dimensional economic evaluation of corporate, proposed a multi-dimensional evaluation system of indicators. From the traditional business,etc. To start from five dimensions, person, financial, management, administration and development for three-dimensional evaluation, which jumped out of the company itself, increased people the key dimension of business stakeholders,...
The high social costs associated with bankruptcy have spurred searches for better prediction capability. We propose a nonparametric approach for bankruptcy prediction, using data envelopment analysis (DEA) model to identify the boundaries of bankruptcy and non-bankruptcy. The benchmarks of non-bankruptcy and bankruptcy can construct two piecewise frontiers to dominate two convexity classes. Overlap...
In 2009 China Enterprise Informatization composite index 40.46, China's overall informatization companies in the lower-middle maturity state. At present, most Chinese enterprises are in the transition period which means from the informatization critical application phase to the expansion of integration and optimization phase. The transition period is the critical period of the improvement of the maturity...
What attitudes do Norwegian electricity customers have when it comes to smart metering? Until now they have read the meter themselves and reported the meter level to the grid operator four to six times a year. In a few years everything will be done automatically. Consumers will also be offered other services related to the new technology. How will the customers receive these services? Will consumers...
ERP (Enterprise resource planning) is one of the popular tools for companies to streamline their operations. In this paper, attempt has been made to identify factors that are critical for Chinese construction firms to implement ERP systems successfully. Using DeLone and McLean's model as the research model, questionnaire survey was conducted among the contractors in Hong Kong and the Guangdong Province...
The article introduces the method of probabilistic neural network (PNN) and its classifying principle. It constructs a PNN structure for identified three patterns samples. The PNN structure is used to separate 106 listed companies of our country in 2000 into three groups. The simulations show that, the classification accuracy rate of PNN to the training samples is very high which is up to 100%, but...
Although originally developed in 1968 using a small sample of firms from the 1950s and 1960s, Altman's Z-Score model remains a commonly used tool for evaluating the financial health of companies. Because of the age of the model and other its attributes, such as its small sample of manufacturing firms and the use of equal group sizes of bankrupt and non-bankrupt firms, it is likely that the model is...
This paper applies DEA model to a sample of 58 power plate listed companies in the securities market in China in 2008, with a view to identifying the financial risk companies and non-financial risk companies, instead of using ST in the past. Then, after comparing logit regression model and neural network LVQ in predicting the company financial risks, the conclusion was drawn that neural network LVQ...
SVM based model is constructed for predicting performances of Chinese listed companies. The paper firstly uses factor analysis, equal value difference test and correlation test to sieve the financial indicators and corporate governance variables separately for representative variables, and then uses the method of support vector machine for an empirical analysis. The research shows the model of SVM...
This survey paper categorizes, compares, and summarizes the data set, algorithm and performance measurement in almost all published technical and review articles in automated accounting fraud detection. Most researches regard fraud companies and non-fraud companies as data subjects, Eigenvalue covers auditor data, company governance data, financial statement data, industries, trading data and other...
This paper first constructed a financial index system for credit assessment of listed companies, then analyzed the defects of BP neural network model and found out it is easy to fall into the defect of local optical solution. By introducing the revised connection weight value of genetic algorithms, constructed GA-BP neural network model, and selected 80 companies listed from 2004 to 2007 as training...
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