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    KDD
    2008
    ACM
    120views Data Mining» more  KDD 2008»
    Entity categorization over large document collections
    14 years 6 months ago
    Entity categorization over large document collections
    Download  www.ics.uci.edu
    Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
    Arnd Christian König, Rares Vernica, Venkates...
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    KDD
    2008
    ACM
    257views Data Mining» more  KDD 2008»
    Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
    14 years 6 months ago
    Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
    Download  www.r.dl.itc.u-tokyo.ac.jp
    We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
    Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
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    KDD
    2008
    ACM
    206views Data Mining» more  KDD 2008»
    Identifying biologically relevant genes via multiple heterogeneous data sources
    14 years 6 months ago
    Identifying biologically relevant genes via multiple heterogeneous data sources
    Download  www.public.asu.edu
    Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
    Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
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    KDD
    2008
    ACM
    156views Data Mining» more  KDD 2008»
    Can complex network metrics predict the behavior of NBA teams?
    14 years 6 months ago
    Can complex network metrics predict the behavior of NBA teams?
    Download  www.cs.unc.edu
    The United States National Basketball Association (NBA) is one of the most popular sports league in the world and is well known for moving a millionary betting market that uses th...
    Antonio Alfredo Ferreira Loureiro, Pedro O. S. Vaz...
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    KDD
    2008
    ACM
    146views Data Mining» more  KDD 2008»
    Constraint programming for itemset mining
    14 years 6 months ago
    Constraint programming for itemset mining
    Download  www.cs.kuleuven.be
    The relationship between constraint-based mining and constraint programming is explored by showing how the typical constraints used in pattern mining can be formulated for use in ...
    Luc De Raedt, Tias Guns, Siegfried Nijssen
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    KDD
    2008
    ACM
    234views Data Mining» more  KDD 2008»
    Angle-based outlier detection in high-dimensional data
    14 years 6 months ago
    Angle-based outlier detection in high-dimensional data
    Download  www.dbs.informatik.uni-muenchen.de
    Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
    Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
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    KDD
    2008
    ACM
    183views Data Mining» more  KDD 2008»
    De-duping URLs via rewrite rules
    14 years 6 months ago
    De-duping URLs via rewrite rules
    Download  research.yahoo.com
    A large fraction of the URLs on the web contain duplicate (or near-duplicate) content. De-duping URLs is an extremely important problem for search engines, since all the principal...
    Anirban Dasgupta, Ravi Kumar, Amit Sasturkar
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    KDD
    2008
    ACM
    140views Data Mining» more  KDD 2008»
    Semi-supervised approach to rapid and reliable labeling of large data sets
    14 years 6 months ago
    Semi-supervised approach to rapid and reliable labeling of large data sets
    Download  www-users.cs.umn.edu
    Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
    György J. Simon, Vipin Kumar, Zhi-Li Zhang
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    KDD
    2008
    ACM
    167views Data Mining» more  KDD 2008»
    A sequential dual method for large scale multi-class linear svms
    14 years 6 months ago
    A sequential dual method for large scale multi-class linear svms
    Download  www.csie.ntu.edu.tw
    Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
    S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
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    KDD
    2008
    ACM
    192views Data Mining» more  KDD 2008»
    Partial least squares regression for graph mining
    14 years 6 months ago
    Partial least squares regression for graph mining
    Download  eprints.pascal-network.org
    Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
    Hiroto Saigo, Koji Tsuda, Nicole Krämer
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