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Performance analysis of partial‐match search algorithms for BD trees
Author(s) -
Dandamudi Sivarama P.,
Sorenson Paul G.
Publication year - 1988
Publication title -
software: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 70
eISSN - 1097-024X
pISSN - 0038-0644
DOI - 10.1002/spe.4380180110
Subject(s) - heuristics , tree (set theory) , computer science , search tree , heuristic , search algorithm , algorithm , class (philosophy) , theoretical computer science , data mining , mathematics , artificial intelligence , combinatorics , operating system
Database systems are becoming increasingly popular for answering queries. Partial‐match search queries are an important class of queries in such a system. Several storage structures have been proposed to answer these queries efficiently. The BD tree is an example of such a storage structure. A previous study indicated that the k‐d tree performance is better than that of the BD tree for partial‐match search queries. A recent paper reported some improved algorithms. However, it is unclear whether the improved algorithms show the BD tree in a favourable light for partial‐match search queries. This paper explores the performance of these algorithms and compares their performance to that of the k‐d tree. Since the BD tree construction process uses some heuristics to make it a better balanced tree, this paper also evaluates the effect of these heuristics on the partial‐match search algorithms. The major conclusions of this study are that the BD tree performance for partial‐match search is better than that of the k‐d tree when an improved algorithm is used for partial‐match search, and only the DZ expression rearrangement heuristic has substantial effect on partial‐match search performance.