Volume 7 Number 1 (Jan. 2012)
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JSW 2012 Vol.7(1): 228-236 ISSN: 1796-217X
doi: 10.4304/jsw.7.1.228-236

f-Fractional Bit Minwise Hashing

Xinpan YUAN, Jun LONG*, Zuping ZHANG, Yueyi LUO, Hao Zhang, Weihua Gui
School of Information Science and Engineering ,Central South University ,Changsha 410083 ,China

Abstract—In information retrieval, minwise hashing algorithm is often used to estimate similarities among documents. b-bit minwise hashing is capable of gaining substantial advantages in terms of computational efficiency and storage space by only storing the lowest b bits of each (minwise) hashed value (e.g., b=1 or 2). In this paper, we propose a fractional bit hashing method, which extends the existing b-bit Minwise hashing. It is shown theoretically that the fractional bit hashing has a wider range of selectivity for accuracy and storage space requirements. Theoretical analysis and experimental results demonstrate the effectiveness of this method.

Index Terms—similarity, hashing, fractional bit

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Cite:Xinpan YUAN, Jun LONG*, Zuping ZHANG, Yueyi LUO, Hao Zhang, Weihua Gui, "f-Fractional Bit Minwise Hashing," Journal of Software vol. 7, no.1, pp. 228-236, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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