大数据时代面向终端用户的信息可视化分类  

END USER ORIENTED CLASSIFICATION OF INFORMATION VISUALIZATION IN THE BIG DATA ERA

作　　者：马翔[1] 肖狄虎[1] 

机构地区：[1]湖南大学设计艺术学院

出　　处：《设计》2015年第5期57-59,共3页Design

摘　　要：随着信息技术的迅猛发展,大数据时代让人们的生活变得更丰富的同时也带来了信息过载的困扰。信息可视化领域的专业人士在利用数据、表达数据以及新的信息挖掘中面临巨大的机遇和挑战。本文基于信息可视化的两类不同终端用户,提出了具有图解与发掘功能的"信息图解"与"信息发掘"的信息可视化分类方案,并进一步对比分析了这两类信息图的表达效果、视觉语言、生成方式、功能特点以及各自的应用领域。此外,弄清"信息图解"与"信息发掘"这两类信息可视化的终端用户类型也可以帮助设计者选择恰当的呈现视角和表达方式。As information technology develops in leaps and bounds, big date era enriches people＇s life but brings the trouble of information overload at the same time. Experts in information visualization face both great opportunities and challenges in data application, data expression and information mining. Based on two kinds of end-user, this thesis puts forward the classification scheme of information visualization in ＂information diagram＂ and ＂information mining＂which have diagram and mining function. In the meanwhile, it analyses and compares the two information patterns in expression effect, visual language, generation type, functional characteristics and application areas. Furthermore, a fully understanding of the two kinds of information visualization end-users, namely ＂information diagram＂ and ＂information mining＂, is helpful for the designer to choose proper presentation perspective and expression means.

关 键 词：大数据时代 信息可视化 信息图解 信息发掘 终端用户 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]