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    CORR
    2007
    Springer
    160views Education» more  CORR 2007»
    On the Correlation of Geographic and Network Proximity at Internet Edges and its Implications for Mobile Unicast and Multicast R
    13 years 8 months ago
    On the Correlation of Geographic and Network Proximity at Internet Edges and its Implications for Mobile Unicast and Multicast R
    Download  cst.mi.fu-berlin.de
    Signicant eort has been invested recently to accelerate handover operations in a next generation mobile Internet. Corresponding works for developing ecient mobile multicast man...
    Thomas C. Schmidt, Matthias Wählisch, Ying Zh...
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    BIOINFORMATICS
    2007
    195views more  BIOINFORMATICS 2007»
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    13 years 8 months ago
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    Download  www.stat.ucla.edu
    Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
    Shinsheng Yuan, Ker-Chau Li
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    GFKL
    2007
    Springer
    123views Data Mining» more  GFKL 2007»
    Projecting Dialect Distances to Geography: Bootstrap Clustering vs. Noisy Clustering
    14 years 2 months ago
    Projecting Dialect Distances to Geography: Bootstrap Clustering vs. Noisy Clustering
    Download  www.let.rug.nl
    Abstract. Dialectometry produces aggregate distance matrices in which a distance is specified for each pair of sites. By projecting groups obtained by clustering onto geography on...
    John Nerbonne, Peter Kleiweg, Wilbert Heeringa, Fr...
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    SIGMOD
    1999
    ACM
    183views Database» more  SIGMOD 1999»
    OPTICS: Ordering Points To Identify the Clustering Structure
    14 years 28 days ago
    OPTICS: Ordering Points To Identify the Clustering Structure
    Download  www.dbs.informatik.uni-muenchen.de
    Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
    Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
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    IS
    2007
    102views Artificial Intelligence» more  IS 2007»
    Mining association rules in very large clustered domains
    13 years 8 months ago
    Mining association rules in very large clustered domains
    Download  delab.csd.auth.gr
    Emerging applications introduce the requirement for novel association-rule mining algorithms that will be scalable not only with respect to the number of records (number of rows) ...
    Alexandros Nanopoulos, Apostolos N. Papadopoulos, ...
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