CAREER: Efficient Indexing and Data Mining in Spatio-Temporal Databases

职业：时空数据库中的高效索引和数据挖掘

• 批准号: 0133825
• 负责人: George Kollios
• 金额: $ 32.26万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-03-15 至 2008-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0133825&HistoricalAwards=false
• 关键词: CAREER; Efficient; Indexing; Data; Mining

This research project will first develop efficient indexing strategies for spatio-temporal data sets. This will include access methods for future spatio-temporal queries as well as access methods for historical spatio-temporal queries. The next step will develop mining techniques for spatio-temporal databases. Finally the project will generate spatio-temporal data sets for experimentation. The career development plan will include two new courses on advanced database applications.

本研究计画将首先针对时空资料集开发有效的索引策略。这将包括未来时空查询的访问方法以及历史时空查询的访问方法。下一步将开发时空数据库的挖掘技术。最后，该项目将生成用于实验的时空数据集。职业发展计划将包括两个关于高级数据库应用的新课程。