多视图合作的联盟数据可视化分析  

Visualization of Coalition Data Based on Multi View Cooperation

作　　者：申雪锋 柯永振[1] 姚楠[1] Shen Xuefeng Ke Yongzhen Yao Nan(School of Computer Science ＆ Software Engineering, Tianjin Polytechnic University, Tianjin 300387, Chin)

机构地区：[1]天津工业大学计算机科学与软件学院,天津300387

出　　处：《数据分析与知识发现》2017年第3期21-28,共8页Data Analysis and Knowledge Discovery

摘　　要：【目的】针对当前联盟数据在进行知识发现过程中存在的问题,设计联盟数据可视分析系统模型,实现对历史信息的采集、挖掘和可视化分析。【方法】构建联盟数据可视分析系统模型,搭建大数据平台,验证模型的可用性。【结果】实验结果表明,系统能够很好地对海量历史数据进行可视化分析,并支持决策分析。【局限】目前的可视分析结果视图还可以进一步丰富。【结论】该系统可以对联盟的历史数据进行可视化分析,为决策者提供科学化的数据支持。[Objective] This paper proposes a data visualization model to retrieve, analyze and present historical records from a data coalition, aiming to improve the knowledge discovery. [Methods] We constructed a model for the visual data analysis system, and then used a big data platform to examine its feasibility. [Results] The proposed system could analyze massive historical data and then support the decision making procedures. [Limitations] The current visual analysis result views could be further improved by adding more chart templates. [Conclusions] The proposed system could analyze historical data from the library alliance and provide valuable information for decision makers.

关 键 词：联盟数据 大数据 可视分析 借阅记录 

分 类 号：G353.1[文化科学—情报学] TP311.13[自动化与计算机技术—计算机软件与理论]