LSBF -- Locality-Sensitive Bloom Filter for Approximate Membership Query

This is a simple implemention of LSBF.

More information and the design details can be found in the following paper:

Yu Hua, Bin Xiao, Bharadwaj Veeravalli, Dan Feng. "Locality-Sensitive Bloom Filter for Approximate Membership Query", IEEE Transactions on Computers (TC), Vol. 61, No. 6, June 2012, pages: 817-830. (pdf)

About Files

lsbf.c -- the main function of approximate query

exact_query.c -- the main function of exact-matching query

dataset/ -- include the test data files

$ ./exact_query 200 200 2 dataset/200_data dataset/200_query

The exact query result are 28, 96, 98. These three points meet the needs of query requests.

$ ./lsbf 200 200 2 dataset/200_data dataset/200_query

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
dataset		dataset
.gitignore		.gitignore
Makefile		Makefile
README.md		README.md
bloom.c		bloom.c
bloom.h		bloom.h
exact_query.c		exact_query.c
hash.c		hash.c
hash.h		hash.h
lsbf.c		lsbf.c