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.      

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。     

Discovering Frequent Subtrees from XML Data Using Neural Networks

By rapid progress of network and storage technologies, a huge amount of electronic data such as Web pages and XML has been available on Internet. In this paper, we study a data-mining problem of discovering frequent ordered sub-trees in a large collection of XML data, where both of the patterns and the data are modeled by labeled ordered trees. We present an efficient algorithm of Ordered Subtree Miner （OSTMiner） based on two- layer neural networks with Hebb rule, that computes all ordered sub-trees appearing in a collection of XML trees with frequent above a user-specified threshold using a special structure EM-tree. In this algo- rithm, EM-tree is used as an extended merging tree to supply scheme information for efficient pruning and mining frequent sub-trees. Experiments results showed that OSTMiner has good response time and scales well.     

系统功能语法与语篇分析

本文首先讨论了系统功能语法语篇分析的基本理论,包括语言的三大纯理功能及其各自实现的子系统、语篇分析的两个层次以及"语境→语篇→评价("联系语境变量)的分析步骤,并用该模式分析了一个完整的语篇。分析表明用系统功能语法框架对语篇进行分析可以揭示语篇深层含义,可以解释语篇的语义和文体特点。     

提高煤炭资源回收率实现矿井可持续发展

以同煤集团晋华宫矿为例,分析了提高煤炭资源回收率、合理开发矿井煤炭资源的途径。     

基于关联规则相关性分析的Web个性化推荐研究

通过分析关联规则在Web个性化推荐中存在的问题,对Web个性化推荐的关联规则相关性分析算法进行改进,并进行了详细的论证和仿真实验。实验结果表明改进的算法能实现更低支持度的推荐,能提高推荐的准确率和速度。     

采煤工作面瓦斯涌出分析及控制技术

分析了采煤工作面瓦斯涌出规律及其主要影响因素,论述了瓦斯治理及控制技术。