基于改进的模糊核C-均值算法在商业银行客户细分中的应用

随着商业银行信息化进程中数据集中阶段任务的完成,各商业银行将面临如何从大量的数据中提取有价值的信息和知识以提高企业决策质量和市场竞争力,数据挖掘技术的出现使企业“数据变知识”成为可能。文章主要结合商业银行的实际,探讨了核聚类方法在提高银行服务成功率等方面的应用。     

贝壳固硫过程热重研究

利用LCT-2型热天平对贝壳的固硫反应过程进行了实验研究。探讨了贝壳在含SO2模拟烟气气氛下的固硫能力、温度特性及SO2浓度对其钙利用率的影响特性;并利用JXA-840扫描电镜实验观察了贝壳与石灰石微观结构特性的主要差别。结果表明:贝壳具有良好的微观结构特性和固硫反应活性,其最佳固硫反应温度比石灰石高出约100℃,大部分贝壳更适合作900~1000℃温度下的燃煤固硫剂。     

试题质量评价研究

教学过程的规范化管理是保证教学质量的重要手段。考试是对教和学的效果的检验，是教学过程管理规范化必须要解决的问题，一直受到教学管理部门的重视，采取了多项措施解决有关问题，其中一个重要的手段是采用试题库。在采用试题库时，必须要有高质量的试题作保证。本探讨基于KDD技术的试题质量评价方法和指标，并通过实例来说明其有效性。     

平庄局元宝山露天矿基岩疏干方案研究

分析了元宝山露天煤矿水文地质特征与基岩抽水试验情况，提出了元宝山露天矿基岩疏干设计方案，通过该方案的实施，解决了元宝山露天煤矿在剥离工作中出现陷车、陷镐、粘车、粘皮带这一难题，使剥离速度大大加快，缓解了采剥失调、生产接续紧张局面。不仅创造了可观的直接效益，而且间接效益更大，同时为今后的基岩疏干提供了宝贵经验。     

Improved customer choice predictions using ensemble methods

In this paper various ensemble learning methods from machine learning and statistics are considered and applied to the customer choice modeling problem. The application of ensemble learning usually improves the prediction quality of flexible models like decision trees and thus leads to improved predictions. We give experimental results for two real-life marketing datasets using decision trees, ensemble versions of decision trees and the logistic regression model, which is a standard approach for this problem. The ensemble models are found to improve upon individual decision trees and outperform logistic regression.     

Solitary wave solutions of nonlinear financial markets :data-modeling-concept-practicing

This paper seeks to solve the difficult nonlinear problem in financial markets on the complex system theory and the nonlinear dynamics principle, with the data-model-concept-practice issue-oriented reconstruction of the phase space by the high frequency trade data. In theory, we have achieved the differentiable manifold geometry configuration, discovered the Yang-Mills functional in financial markets, obtained a meaningful conserved quantity through corresponding space-time non-Abel localization gauge symmetry transformation, and derived the financial solitons, which shows that there is a strict symmetry between manifold fiber bundle and guage field in financial markets. In practical applications of financial markets, we have repeatedly carried out experimental tests in a fluctuant evolvement, directly simulating and validating the existence of solitons by researching the price fluctuations (society phenomena) using the same methods and criterion as in natural science and in actual trade to test the stock Guangzhou Proprietary and the futures Fuel Oil in China. The results demonstrate that the financial solitons discovered indicates that there is a kind of new substance and form of energy existing in financial trade markets, which likely indicates a new science paradigm in the economy and society domains beyond physics.      

多功能旋流燃烧器的工业性试验研究

秦皇岛热电厂2＃锅炉燃烧不稳定、燃烧效率低等问题主要是由于燃烧器的一次风管道结构不合理造成的。本文采用多功能旋流燃烧器的设计思想对旋流燃烧器进行了技术改造和工业性试验研究。结果表明,改造后的旋流燃烧器其着火点提前,并且仅改造6只主力燃烧器就可以使锅炉在50％负荷时达到不投油而稳定燃烧,排烟温度、飞灰含碳量和NOx排放量明显下降。     

数据挖掘技术在银行业的应用

随着技术的进步、市场规模的扩大以及分工交易方式的发展,银行业的经营环境也因信息技术发展的影响而不断改变,银行业面临着愈加激烈的竞争.通过建立数据仓库,使用数据挖掘技术,挖掘出为银行创造利润的客户,从复杂的客户信息中建立模型,能够降低成本与风险,提高效益.     

零售业销售数据关联规则挖掘算法关键思想研究

对零售业销售数据关联规则挖掘算法的关键思想进行了研究，给出了各种提高算法效率的方法以及对规则选择的方法。     

试论村庄下采煤的技术问题

文章讨论了村庄下采煤的技术问题。