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2011 International Conference on Business Computing and Global Informatization最新文献

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Corporate Financial Distress Prediction Based on Ensemble Learning 基于集成学习的企业财务困境预测
Yu Wang, Hongshan Xiao
In order to decrease the uncertainty and instability of single classifiers in corporate financial distress prediction, this paper proposes a prediction model based on ensemble learning. The proposed approach first establishes different predictor systems by randomly partitioning dataset and applying feature selection techniques, and then constructs different classifiers based on different predictor systems. At last, these classifiers are combined for corporate financial distress prediction. In the empirical study, logistic regression and support vector machine are employed as the basic classifiers. The experimental results on 300 corporations listed in Shanghai and Shenzhen Stock Exchange show the accuracy and advantage of the proposed prediction model.
为了减少单一分类器在企业财务困境预测中的不确定性和不稳定性,本文提出了一种基于集成学习的预测模型。该方法首先通过随机划分数据集并应用特征选择技术建立不同的预测系统,然后基于不同的预测系统构建不同的分类器。最后,将这些分类器结合起来进行企业财务困境预测。在实证研究中,采用逻辑回归和支持向量机作为基本分类器。对沪深两市300家上市公司的实验结果表明了该预测模型的准确性和优越性。
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引用次数: 1
A Comprehensive Evaluation Mode of Drinking Water Quality Based on Interval-valued Fuzzy Mathematics 基于区间模糊数学的饮用水水质综合评价模型
Pub Date : 2011-07-29 DOI: 10.1109/BCGIN.2011.167
Chen Dong-sheng, Sun Li-ping
This paper mainly deals with a new mode of comprehensive evaluation of dinking water quality, which is based on interval-valued fuzzy mathematics. During this evaluation mode, aiming at index system of quality evaluation of drinking water, we will value the quality of drinking water on the basis of interval-valued fuzzy mathematics by experts' setting the matrix of fuzzy evaluation after our fixing weights of various indexes through interval values. Then we program computer software of the evaluation model so that we evaluate the quality through computer. This method makes evaluation results more in line with objective facts because it combines the objective weight with subjective experience to avoid the subjectivity and one-sidedness of the previous evaluation.
本文主要研究了一种基于区间模糊数学的饮用水水质综合评价新模式。在该评价模式中,针对饮用水质量评价指标体系,通过区间值确定各指标的权重后,由专家设置模糊评价矩阵,根据区间值模糊数学对饮用水质量进行评价。然后编制评价模型的计算机软件,通过计算机对质量进行评价。该方法将客观权重与主观经验相结合,避免了以往评价的主观性和片面性,使评价结果更符合客观事实。
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引用次数: 0
Study on Applications of XBRL-based Data in the Fund Industry 基于xbrl的数据在基金行业中的应用研究
Qing Yang
It is very important to apply XBRL technology into fund industry for the construction of basic system of capital market. XBRL offers cost savings, greater efficiency and improved accuracy and reliability to all those involved in supplying or using financial data. In the fund industry, XBRL taxonomy creation, XBRL-based data acquisition and review, information disclosures are accomplished. The current focus is the application of XBRL-based data. In this paper, the XBRL fund data warehouse is established and the XBRL-based fund data is analyzed in order to improve the development and management of the fund industry.
将XBRL技术应用于基金行业,对于资本市场基础制度的构建具有十分重要的意义。XBRL为所有涉及提供或使用财务数据的人员提供了成本节约、更高的效率和更高的准确性和可靠性。在基金行业中,完成了XBRL分类创建、基于XBRL的数据获取与审核、信息披露等工作。当前的重点是基于xbrl的数据的应用。本文通过建立XBRL基金数据仓库,并对基于XBRL的基金数据进行分析,以提高基金行业的发展和管理水平。
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引用次数: 2
Research and Application for Collision Detection Algorithm in Virtools Virtools中碰撞检测算法的研究与应用
Pub Date : 2011-07-29 DOI: 10.1109/BCGIN.2011.120
Gong Jie, An Jingya, Cui Lu
Collision detection is an important part of the development in virtual reality system. In this paper, we describe the principle, realization of AABB (axis-aligned bounding boxes) collision detection algorithm and three-dimensional frame (3D Frame) collision detection algorithm. AABB bounding box algorithm is a small amount of testing speed. Three-dimensional frame collision detection method is calculating the distance between rays to determine whether the objects collide in a certain time slice. Both methods can handle different situations of collision detection. The paper also gives the application using the Virtool's graphical development engine, two algorithms to solve the collision detection in drilling simulation system. Finally, the whole system can be found to achieve the desired effect of the collision, and collisions are also able to control the accuracy within the system to meet the requirements of authenticity.
碰撞检测是虚拟现实系统发展的重要组成部分。本文介绍了AABB(轴向包围框)碰撞检测算法和三维帧(3D frame)碰撞检测算法的原理、实现。AABB包围盒算法是测试速度小的算法。三维帧碰撞检测方法是通过计算光线之间的距离来判断物体在某一时间片内是否发生碰撞。这两种方法都可以处理不同的碰撞检测情况。文中还给出了利用Virtool的图形化开发引擎,解决钻井仿真系统中碰撞检测的两种算法的应用。最后可以找到整个系统达到预期的碰撞效果,并且碰撞也能够控制系统内的精度,满足真实性的要求。
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引用次数: 6
A Theoretical Thinking about Taking the Chromatographic Analysis Method Cited by Economics Classification 采用经济学分类引用色谱分析方法的理论思考
Pub Date : 2011-07-29 DOI: 10.1109/BCGIN.2011.160
S. Ping, You Shi-bing, Mei Min
This paper is based on the principles of chromatography which was raised from chemistry field. We summarize and classify the traditional economic principles and operational applications. And we present the feasibility of chromatography in the classification of economic applications. We propose the feasibility of application of correlating principle analysis in the economic analysis. We also point out the difficulties of application classification system of economic phenomena.
本文以化学领域提出的色谱原理为基础。对传统的经济原理和操作应用进行了总结和分类。并介绍了色谱法在分类经济应用方面的可行性。提出了相关原理分析在经济分析中应用的可行性。同时指出了经济现象分类体系应用的难点。
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引用次数: 0
The Research on Motive Force of Urban Development Based on Informationization 基于信息化的城市发展动力研究
Quan-Le Liu, Wei Chen
Information has already become the motive force of the urban economy and social development, which make the industrial economy into information economy and socio-economy. To investigate the deep relationship between information and sustainable development, this paper using systematic method to analyze how the e-government improve the operational efficiency among the aspects ( such as economy, society, politics, population, environment and culture). The resulted showed that urban informatization is the new theme and new power in the development of cities in China and at the same time, it is also an effective the way to solve many difficult problems of the current urban development.
信息已经成为城市经济和社会发展的动力,使工业经济转变为信息经济和社会经济。为了探究信息与可持续发展之间的深层关系,本文采用系统的方法分析了电子政务如何在经济、社会、政治、人口、环境和文化等方面提高运行效率。研究结果表明,城市信息化是中国城市发展的新主题和新动力,同时也是解决当前城市发展诸多难题的有效途径。
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引用次数: 0
Assessment on Core Competence of Real-estate Listed Companies Based on Catastrophe Progression Method 基于突变级数法的房地产上市公司核心竞争力评价
C. J. Zheng, Zhao Qian, Zou Hao
Comprehensive assessment on the core competence of real-estate companies will be conducted with the application of catastrophe progression method. Based on catastrophe theory, the thesis will assess the core competence of three exampled real-estate listed companies and establish the index system assessment for core competence with the consideration of their business characteristics. Meanwhile, improved normalization method can be exerted to make index data dimensionless. After comparative analysis of assessment results, it is much easier to find out problems correctly existing in the corporation management. Therefore, it can offer exceeding decision information for corporation management, in order to make targeted improvements.
运用突变级数法对房地产企业的核心竞争力进行综合评价。本文以突变理论为基础,对三家典型房地产上市公司的核心竞争力进行了评价,并结合其业务特点,建立了核心竞争力评价指标体系。同时,利用改进的归一化方法使索引数据无量纲化。通过对考核结果的对比分析,更容易正确发现企业管理中存在的问题。因此,它可以为企业管理层提供超决策信息,以便有针对性地进行改进。
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引用次数: 0
New Methods of Data Clustering and Classification Based on NMF 基于NMF的数据聚类与分类新方法
Pub Date : 2011-07-29 DOI: 10.1109/BCGIN.2011.114
Jie Tang, Xinyu Ceng, Bo Peng
Nonnegative matrix factorization method is a kind of new matrix decomposition method. It is an effective tool for large data processing and analysis. At the same time, NMF has an important performance on intelligent information processing and pattern recognition. This paper first analyses and discusses the NMF algorithms based on its basic theory. We then propose new methods of data clustering and classification based on NMF separately. NMF method is applied to reduce the dimension of the original matrix. We run clustering algorithms on the encoded matrix after NMF processing instead of on the original matrix. Running clustering algorithms on smaller encoded matrix can save more time and storage space. After that, we bring in a series of improvement methods of classification on the basis of clustering. Finally we have done experiments to test and verify them, and gotten good results.
非负矩阵分解法是一种新的矩阵分解方法。它是处理和分析大数据的有效工具。同时,NMF在智能信息处理和模式识别方面也有着重要的作用。本文首先从NMF算法的基本理论出发,对其进行了分析和讨论。然后,我们分别提出了基于NMF的数据聚类和分类的新方法。采用NMF法对原始矩阵进行降维。我们在经过NMF处理后的编码矩阵上运行聚类算法,而不是在原始矩阵上运行。在较小的编码矩阵上运行聚类算法可以节省更多的时间和存储空间。在此基础上,提出了一系列基于聚类的分类改进方法。最后进行了实验验证,取得了良好的效果。
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引用次数: 7
Asymptotically kn Strict Pseudocontractive Mappings in the Intermediate Sense 中间意义上的渐近严格伪压缩映射
Wu Dingping
It is studied that the asymptotically kn-strict pseudo contractive mapping in the intermediate sense and proved the modnified Mann iteration process with errors converges weakly to a fixed point of which is not necessarily Lipschitzian. The results presented extend and improve the corresponding results of [1-6] and many others.
研究了中间意义上的渐近n-严格伪压缩映射,并证明了带误差的改进Mann迭代过程弱收敛于一个不动点,该不动点不一定是Lipschitzian。所提出的结果扩展和改进了[1-6]和许多其他人的相应结果。
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引用次数: 74
Research on the Coordinated Development between Port Logistics and Regional Economy 港口物流与区域经济协调发展研究
Zhan Bin, Guo Jun
According to the principle of establishing index system, we construct an evaluation index system with coordinated port logistics and regional economy. Principal Component Analysis is used to build coordinated development model of port logistics and regional economy. Based on the data of J combinatorial ports from 2002 to 2009, we evaluate the coordinated development between two systems, and come to the coordinated development degree of port logistics system and regional economic system. Our results provide relative scientific and objective basis for decision-makers.
根据建立指标体系的原则,构建了港口物流与区域经济协调发展的评价指标体系。运用主成分分析法,建立了港口物流与区域经济协调发展的模型。基于2002 - 2009年J个组合港的数据,对两个系统的协调发展进行了评价,得出了港口物流系统与区域经济系统的协调发展程度。研究结果为决策者提供了相对科学、客观的依据。
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引用次数: 2
期刊
2011 International Conference on Business Computing and Global Informatization
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