数据断层分析在广播电台数据处理中的应用  

APPLICATION OF DATA FAULTAGE ANALYSIS IN RADIO DATA PROCESSING

作　　者：徐俊[1,2] 夏骄雄[2,3] 周时强[2] 

机构地区：[1]上海广播电视台技术运营中心,上海200051 [2]上海大学计算机工程与科学学院,上海200444 [3]上海市教育委员会信息中心,上海200003

出　　处：《计算机应用与软件》2016年第9期38-42,158,共6页Computer Applications and Software

基　　金：国家自然科学基金项目(40976108;61303097);上海市重点学科建设项目(J50103);上海大学研究生创新基金项目(SHUCX070037;SHUCX120105)

摘　　要：随着大数据技术的不断升温,数据断层现象的分析与处理已经成为数据挖掘领域重要的方式与手段。数据断层理论作为描述数据对象之间发生局部位移趋势的分析理论,对于数据预处理过程具有十分重要的指导性意义。在初步描述数据断层理论基本概念的基础上,以上海"动感101"音乐电台的移动客户端应用日志数据为例,构建数据断层理论分析系统来处理电台数据中所存在的数据断层现象,提高了数据对象预处理的质量,得到了有效的电台决策辅助信息,从而充分说明了数据断层理论的科学性和有效性,为进一步研究奠定了坚实基础。With the increasing heating up of big data, analysis and process on data faultage phenomena has become the important ways and means in data mining field. Data fauhage theory, as the analysis theory describing the tendency of partial displacement between data objects, has the extremely instructive significance on data preprocessing. Based on the preliminary description on the rationale of data fauhage theory, we took the log data of mobile client application on ＂Shanghai Music Radio FM 101.7＂ as an example and built an analysis system of data fauhage theory to deal with the data faultage phenomena in radio log data so as to improve the quality of data objects preprocessing, and gained the effective auxiliary information of radio decision-making. Therefore, the scientific property and effectiveness of data faultage theory are fully explained, this lays the sound foundation for further studies.

关 键 词：数据断层 数据挖掘 数据预处理 日志数据分析 移动客户端应用 

分 类 号：TP311.131[自动化与计算机技术—计算机软件与理论] G202[自动化与计算机技术—计算机科学与技术]