数据显断层与数据隐断层的研究与应用

建立能够和谐平衡各个信息系统之间数据断层的机制是实现管理决策变革最关键的3大基础之一,也是智能决策支持系统研究领域的重点内容之一.随着互联网+时代的到来,各式各样的数据资源不断积累,数据断层现象在多个领域表现得愈加明显.通过对数据断层理论体系的进一步研究与实践,着重分析微观层面的数据断层现象,一方面用显断层概念描述各系统之间以及系统内部存在的较为明显的断层现象,另一方面用隐断层概念描述各系统之间以及系统内部存在的非明显的断层现象,并在数据显断层中引入缝隙的概念来描述主题无关数据对象,采用数据聚合的技术手段来降低缝隙数据的断层属性,同时在隐断层中引入"有效密度"来形象地描绘数据分布情况,通过数据熔合来减少无效数据占用的空间.最后以上海"动感101"音乐电台的移动客户端应用日志数据为例,分析了电台数据中所存在的数据显断层和数据隐断层现象.

Research and Application of Dominant Data Faultage and Tacit Data Faultage

As one of the three key bases for the alteration of management decision-making,the establishment and perfection of the mechanism of data faultage between different information systems is also one of the important research content for intelligent decision support systems.With the advent of the Internet+,all kinds of data resources are growing,the data faultage has become more obvious in several areas around our life.For further studies and practices on data faultage intellectual systems,taking the micro data faultage as a main analysis object,the dominant data faultage was defined as the data faultage between different information systems,and the tacit data faultage was defined as the data faultage existing in a single information system.In the dominant data faultage,the concept of pore was introduced as the data object with subject independence,and a data compaction technique was used to reduce the faultage property of pore.In the tacit data faultage,the data density was defined as the distribution of data objects,and a data pressure solution technique was used to reduce the space occupied by data objects.In the paper,the log data of mobile client application of "Shanghai Music Radio FM 101.7" was taken as an example and the dominant data faultage and the tacit data faultage were analyzed finely.