Result: On the general signature trees

Title:
On the general signature trees
Authors:
Source:
DEXA 2005 : database and expert systems applications (Copenhagen, 22-26 August 2005)Lecture notes in computer science. :207-219
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 23 ref
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Applied Computer Science, University of Winnipeg, Winnipeg, Manitoba, R3B 2E9, Canada
ISSN:
0302-9743
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17096103
Database:
PASCAL Archive

Further Information

The signature file method is a popular indexing technique used in information retrieval and databases. It excels in efficient index maintenance and lower space overhead. Different approaches for organizing signature files have been proposed, such as sequential signature files, bit-slice files, S-trees, and its different variants, as well as signature trees. In this paper, we extends the structure of signature trees by introducing multiple-bit checkings. That is, during the searching of a signature tree against a query signature sq, more than one bit in sq will be checked each time when a node is encountered. This does not only reduce significantly the size of a signature tree, but also increases the filtering ability of the signature tree. We call such a structure a general signature tree. Experiments have been made, showing that the general signature tree uniformly outperforms the signature tree approach.