CF-Tree: a Structure to Fast Index and Retrieve Multi-dimension Data

摘要：

Multi-dimension data retrieval has been one of the most popular research areas in the field of information retrieval for the last 10 years. The fast growing amounts of multimedia data and the development of the Internet right now need a general access method that offers a fast and effective way on multi-dimension data classification and retrieval. But up to now, no general breakthrough has been achieved with multi-dimension data classification. This paper presents CF-Tree, a new data structure for the classification and retrieval of multi-dimensional data. In fact the structure presents a relative good performance on recall rate and precision rate.

作者: Dongxu HUANG Chen YANG Linfeng SONG

作者单位: Software College, Northeastern University Shenyang, China Sohu.com Inc.Tsinghua Science Park, Beijing,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 500-504

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）