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    TCC
    2009
    Springer
    169views Cryptology» more  TCC 2009»
    Goldreich's One-Way Function Candidate and Myopic Backtracking Algorithms
    14 years 10 months ago
    Goldreich's One-Way Function Candidate and Myopic Backtracking Algorithms
    Download  www.cs.berkeley.edu
    Abstract. Goldreich (ECCC 2000) proposed a candidate one-way function construction which is parameterized by the choice of a small predicate (over d = O(1) variables) and of a bipa...
    James Cook, Omid Etesami, Rachel Miller, Luca Trev...
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    KDD
    2009
    ACM
    173views Data Mining» more  KDD 2009»
    Constant-factor approximation algorithms for identifying dynamic communities
    14 years 10 months ago
    Constant-factor approximation algorithms for identifying dynamic communities
    Download  compbio.cs.uic.edu
    We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
    Chayant Tantipathananandh, Tanya Y. Berger-Wolf
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    KDD
    2009
    ACM
    211views Data Mining» more  KDD 2009»
    Address standardization with latent semantic association
    14 years 10 months ago
    Address standardization with latent semantic association
    Download  www-ai.cs.uni-dortmund.de
    Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
    Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
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    KDD
    2009
    ACM
    187views Data Mining» more  KDD 2009»
    New ensemble methods for evolving data streams
    14 years 10 months ago
    New ensemble methods for evolving data streams
    Download  www.lsi.upc.edu
    Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
    Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
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    KDD
    2009
    ACM
    190views Data Mining» more  KDD 2009»
    Efficient influence maximization in social networks
    14 years 10 months ago
    Efficient influence maximization in social networks
    Download  research.microsoft.com
    Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
    Wei Chen, Yajun Wang, Siyu Yang
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