SGER: DataScope: Viewing Database Contents in Multi-Resolution at Your Finger Tips
SGER: DataScope: Viewing Database Contents in Multi-Resolution at Your Finger Tips
批准号:
0642771
负责人:
Jiawei Han
金额:
$8.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-01 至 2007-08-31
中文摘要
IIS-0642771 Jiawei han hanj@cs.uiuc.edu伊利诺伊大学香槟分校SGER:Datascope:以指尖的多分辨率查看数据库内容本研究项目的目标是研究设计和开发一个称为DataScope的多分辨率数据查看系统的问题,该系统基于对数据库内容的视觉理解和探索,以一种灵活、用户友好、多维和多分辨率的方式与数据库系统交互。该方法包括研究设计原则和实施考虑,包括维度的结构、属性值的排序、数据值的布局、布局、属性和约束的灵活选择、丰富的信息显示以及可视化界面的自动生成和定制。本研究综合了数据库系统、数据仓库、数据可视化、人机交互、数据挖掘等技术。它强调有效地执行可视化探索数据库内容的功能,并扩大这类功能以供实时使用。研究成果将在关于数据库系统、数据挖掘和人机交互的研究论坛上发表,并将整合到UIUC的研究生教育中。预计该项目将在商业、工业、政府机构、科研和教育等需要探索海量数据的许多领域具有广泛的应用前景。项目的进展和研究结果将通过项目网站(http://www.cs.uiuc.edu/~hanj/projs/datascope.htm).发布
英文摘要
IIS-0642771Jiawei Han hanj@cs.uiuc.eduUniversity of Illinois at Urbana-Champaign SGER: DataScope: Viewing Database Contents in Multi-Resolution at Your Finger TipsThe goal of this research project is to investigate issues in the design and development of a multi-resolution data viewing system, called DataScope, which interacts with database systems based on visual comprehension and exploration of database contents in a flexible, user-friendly, multidimensional, and multi-resolution way. The approach consists of investigation of the design principles and implementation considerations, including structures of dimensions, ordering of attribute values, layout of data values, flexible selection of layouts, attributes, and constraints, rich information display, and automated visualization interface generation and customization. The research integrates the technologies in database systems, data warehouse, data visualization, human-computer interaction, and data mining. It emphasizes on efficient implementation of the functions for visual exploration of database contents and scale-up of such functions for real-time usage. The research results are to be published in research forums on database systems, data mining, and human computer interaction, and be integrated into the graduate education at UIUC. This project is expected to have broad applications in many fields that need to explore huge amounts of data, including business, industry, government agencies, scientific research, and education. The progress of the project and the research results will be disseminated via the project Web site (http://www.cs.uiuc.edu/~hanj/projs/datascope.htm).
期刊论文(0)
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科研奖励(0)
会议论文
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