一种基于神经网络和决策树的信用评估新方法

分析了数据挖掘在国内外金融领域的应用及研究现状,提出了一种基于神经网络和决策树相结合的信用评估新方法。该方法通过RBF神经网络,进行条件属性裁减,并利用决策树抽取出评估规则。此方法利用神经网络的“黑箱”工作特性,选择重要条件属性,并利用决策树自动生成评估规则,大大提高了信用评估的效率和客观性。     

The Psychological Adjustment of Transracial Adoptees: An Application of the Cultural–Racial Identity Model

In response to the need for increased understanding of the identity process of transracial adoptees, the Cultural–Racial Identity Model (A. L. Baden & R. J. Steward, 1995) was developed; however, the model has yet to be empirically validated. The model allows distinctions to be made between racial identity and cultural identity, resulting in 16 proposed identities. Identities are based on the degrees to which individuals (1) have knowledge of, awareness of, competence within, and comfort with their own racial group's culture, their parents' racial group's culture, and multiple cultures, and (2) are comfortable with their racial group membership and with those belonging to their own racial group, their parents' racial group, and multiple racial groups. Four dimensions of the model were determined for study: the Adoptee Culture Dimension, the Parental Culture Dimension, the Adoptee Race Dimension, and the Parental Race Dimension. In this study, the Cultural–Racial Identity of transracial adoptees was assessed by a modified version of the Multigroup Ethnic Identity Measure (MEIM; J. S. Phinney, 1992). Psychological adjustment was assessed by the Brief Symptom Inventory (BSI; L. R. Derogatis & P. A. Cleary, 1977). The sample consisted of 51 transracial adoptees who completed mail survey questionnaires. The exploratory findings supported the Cultural–Racial Identity Model by demonstrating that the modified version of the MEIM successfully yielded variation in the potential Cultural–Racial Identities that the transracial adoptees reported. Findings also did not yield support for differences in psychological adjustment among transracial adoptees having different Cultural–Racial Identities. The implications that the results have for counseling practice and social policy were discussed.     

基于数据挖掘的客户关系分析评价系统

分析功能的深化是客户关系管理(CRM)的一大发展趋势,应用数据挖掘技术建立的CRM分析评价系统,可以对客户的行为以及市场趋势进行有效的分析,为企业的各种决策提供定性和定量的依据。该系统主要模块包括:客户细分模块、客户行为分析模块和市场趋势分析模块。以上各个模块涉及了企业关心的各种客户行为及市场行为,通过各个模块的分析,企业可以辨认出高端客户,理解各种客户行为模式,并掌握市场发展趋势以保证企业在激烈的竞争中立于不败之地。     

西方国家高校组织的自主权及其启示

西方国家高校组织的自主权是通过大学内部立法、决策领导、组织协调、咨询等办学活动来实现的。大学自治组织系统主要由董事会 (校务会 )、校长、评议会等组成。校长由董事会 (校务会 )选举或产生 ,代表其行使学校决策及日常事务管理。大学自治组织一般拥有组织教学、筹集经费、开展学术研究、人事使用等权力 ,而这些权力的行使一方面要受到大学内部各种权力系统、管理层以及利益集团的制约 ,同时还要受到来自大学外部的各种专门组织和社会团体的监督     

高等学校专业设置工作刍议

当前,在大规模扩招和扩大办学自主权的背景下,高等学校专业设置的重要性越来越凸现。为切实做好高等学校的专业设置工作,避免盲目性与随意性,需要转变观念,充分论证,组织力量进行“前端设计”;加强科学性与民主性的决策,充分发挥学术权力作用,并正确运用行政权力;同时,在按设计方案进行操作中,要以专业设置工作贯穿于其它各项工作之中进行。     

Bayesian validation assessment of multivariate computational models

Multivariate model validation is a complex decision-making problem involving comparison of multiple correlated quantities, based upon the available information and prior knowledge. This paper presents a Bayesian risk-based decision method for validation assessment of multivariate predictive models under uncertainty. A generalized likelihood ratio is derived as a quantitative validation metric based on Bayes’ theorem and Gaussian distribution assumption of errors between validation data and model prediction. The multivariate model is then assessed based on the comparison of the likelihood ratio with a Bayesian decision threshold, a function of the decision costs and prior of each hypothesis. The probability density function of the likelihood ratio is constructed using the statistics of multiple response quantities and Monte Carlo simulation. The proposed methodology is implemented in the validation of a transient heat conduction model, using a multivariate data set from experiments. The Bayesian methodology provides a quantitative approach to facilitate rational decisions in multivariate model assessment under uncertainty.     

Optimal sampling for repeated binary measurements

The authors consider the optimal design of sampling schedules for binary sequence data. They propose an approach which allows a variety of goals to be reflected in the utility function by including deterministic sampling cost, a term related to prediction, and if relevant, a term related to learning about a treatment effect To this end, they use a nonparametric probability model relying on a minimal number of assumptions. They show how their assumption of partial exchangeability for the binary sequence of data allows the sampling distribution to be written as a mixture of homogeneous Markov chains of order k. The implementation follows the approach of Quintana & Müller (2004), which uses a Dirichlet process prior for the mixture.     

Couple Attitudes and Agreement Regarding Pregnancy Wantedness in the Philippines

We compare husbands' and wives' views of the wantedness of their most recent pregnancy in the Philippines, a country where relatively high levels of unintended fertility persist. This research is an extension of earlier work that looked separately at individual men's and women's responses. We analyze survey data for 369 couples and find that those most at risk of experiencing a pregnancy that neither spouse wanted tended to be higher parity couples, those who were more fatalistic, those who were practicing Catholics who attended religious services frequently, and those among whom the husband was the sole breadwinner. Higher parity women and older women were also more apt to experience a pregnancy that was wanted by only 1 spouse. Women who had difficulty discussing sexual matters with their husbands were more likely than other women to have a pregnancy that their husbands wanted but they did not.     

Modeling External Risks in Project Management

To ascertain the viability of a project, undertake resource allocation, take part in bidding processes, and other related decisions, modern project management requires forecasting techniques for cost, duration, and performance of a project, not only under normal circumstances, but also under external events that might abruptly change the status quo. We provide a Bayesian framework that provides a global forecast of a project's performance. We aim at predicting the probabilities and impacts of a set of potential scenarios caused by combinations of disruptive events, and using this information to deal with project management issues. To introduce the methodology, we focus on a project's cost, but the ideas equally apply to project duration or performance forecasting. We illustrate our approach with an example based on a real case study involving estimation of the uncertainty in project cost while bidding for a contract.     

国有控股公司党组织参与决策初探

阐释了国有控股公司治理出现的新变化以及给企业党组织带来的新情况,重点分析了国有控股公司党组织参与决策不仅是必要的而且是可行的,同时指出公司党组织参与决策的不适应之处还需要进一步探索研究。