By Kurt Maly
Communications of the ACM,
July 1976,
Vol. 19 No. 7, Pages 409-415
10.1145/360248.360258
Comments
This paper presents a new data structure, called a compressed trie or C-trie, to be used in information retrieval systems. It has the same underlying m-ary tree structure as a trie, where m is a parameter of the trie, but whereas the fields of the nodes in a trie have to be large enough to hold a key or at least a pointer, the fields in a C-trie are only one bit long. In the analysis part of the paper it will be shown that for a collection of n keys the retrieval time, measured in terms of bit inspections of one key, is of the order logmn and the storage requirement of the order n·(m + log2n) bits. This improvement in storage requirements and retrieval time is achieved at the cost of decreasing the flexibility of the structure, and therefore updating costs are increased. First the C-trie is analyzed as a data structure, and then several methods of its use for relatively static databases are discussed.
The full text of this article is premium content
No entries found
Log in to Read the Full Article
Need Access?
Please select one of the options below for access to premium content and features.
Create a Web Account
If you are already an ACM member, Communications subscriber, or Digital Library subscriber, please set up a web account to access premium content on this site.
Join the ACM
Become a member to take full advantage of ACM's outstanding computing information resources, networking opportunities, and other benefits.
Subscribe to Communications of the ACM Magazine
Get full access to 50+ years of CACM content and receive the print version of the magazine monthly.
Purchase the Article
Non-members can purchase this article or a copy of the magazine in which it appears.