Title :
CF-Tree: a structure to fast index and retrieve multi-dimension data
Author :
Huang, Dongxu ; Yang, Chen ; Song, Linfeng
Author_Institution :
Software Coll., Northeastern Univ., Shenyang, China
Abstract :
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.
Keywords :
information retrieval; pattern classification; tree data structures; CF-Tree structure; general access method; information retrieval; multidimension data classification; multidimension data retrieval; Clustering algorithms; Data structures; Educational institutions; Indexing; Information retrieval; Internet; Multimedia databases; Music information retrieval; Search engines; Technological innovation;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5486693