DocumentCode :
2869992
Title :
Research on Three-Dimensional Bloom Filter
Author :
Wang, Jingzhong ; Du, Fei
Author_Institution :
Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Aiming at the lack of membership classification existed in traditional Bloom algorithm. This paper presented a novel three-dimensional structure Bloom filter of mathematical model, called TBF, which represents a large data set in order to support membership queries and classification. We describe the construction of TBFs, provide an analysis of its false positive probability, time complexity and total query cost, the genetic algorithm is employed to solve the mathematical model, and demonstrate its effectiveness experimentally.
Keywords :
computational complexity; data structures; genetic algorithms; pattern classification; probability; 3D structure Bloom filter; false positive probability; genetic algorithm; mathematical model; membership classification; membership querying; time complexity; total query cost; Algorithm design and analysis; Cost function; Databases; Educational institutions; Filtering algorithms; Genetic algorithms; Hydrogen; Information filtering; Information filters; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
Type :
conf
DOI :
10.1109/ICIECS.2009.5366581
Filename :
5366581
Link To Document :
بازگشت