A fusion algorithm of central classification index and local classification index based on B+ tree

This paper introduces a content-based, data-centered data search system for large-scale databases. Firstly, this paper designs the system from data source tracking module, data mining module and system warning module respectively. Then the software design flow chart and information retrieval algorithm are analyzed, and the software part of multimedia information retrieval system is designed. A fusion algorithm of central classification index and local classification index based on B+ tree is proposed to further improve the efficiency of classification. Experiments show that this method has high retrieval speed and accuracy.