成品油税费改革对股票市场影响的传导知识挖掘  

Conductive knowledge mining based on stock market affected by refined oil tax reform

作　　者：李小妹[1] 杨春燕[2] 李卫华[1] 

机构地区：[1]广东工业大学计算机学院,广州510006 [2]广东工业大学可拓工程研究所,广州510090

出　　处：《计算机应用研究》2010年第8期2865-2868,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(70671031);广东省教育厅科研处资助项目(06ZD63008)

摘　　要：给定两组不同对象不同特征的信息元集,其中一组信息元的主动变换会导致另一组信息元传导变换的发生。在发生传导变换的这组信息元中,利用可拓学的方法和数据挖掘技术,挖掘与传导变换有关的知识。这些知识包括哪些对象的哪些特征发生了变化、变化的程度有多大、变化的时效有多久、哪些信息元发生了质变、哪些信息元发生了量变。获取这些知识可以为解决矛盾问题提供依据,为决策者提出合理的策略提供参考。Given the two information element sets of different objects and different characteristics,active transformation of one group information element will lead to conductive transformation of another set of information transformation element. In this situation,the use of extenics methods and data mining techniques to mining conductive transformation-related knowledge. Including of which object has changed,and which features has changed,what is the extent of transformation,how long is time of transformation,in which information element qualitative changes have taken place,in which information element quantitative changes have taken place. Acquisition of these knowledge can provide the basis to resolve the contradictions and can provide reference for reasonable strategy gived by policy-makers.

关 键 词：传导变换 可拓数据挖掘 传导知识 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]