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    ICMLA
    2009
    143views Machine Learning» more  ICMLA 2009»
    Learning Geographic Regions using Location Based Services in Next Generation Networks
    13 years 4 months ago
    Learning Geographic Regions using Location Based Services in Next Generation Networks
    Download  www.ruhr-uni-bochum.de
    Abstract--In this paper we apply classification to learn geographic regions using Location Based Services (LBS) in Next Generation Networks (NGN). We assume that the information in...
    Yuheng He, Attila Bilgic
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    TJS
    2010
    182views more  TJS 2010»
    A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
    13 years 5 months ago
    A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
    Download  ceit.aut.ac.ir
    This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
    Yasser Yasami, Saadat Pour Mozaffari
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    CHI
    2011
    ACM
    278views Human Computer Interaction» more  CHI 2011»
    Apolo: making sense of large network data by combining rich user interaction and machine learning
    12 years 10 months ago
    Apolo: making sense of large network data by combining rich user interaction and machine learning
    Download  www.cs.cmu.edu
    Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
    Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    13 years 6 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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    NCA
    2002
    IEEE
    77views Computer Networks» more  NCA 2002»
    Comparison of Algorithmic and Machine Learning Approaches for the Automatic Fitting of Gaussian Peaks
    13 years 6 months ago
    Comparison of Algorithmic and Machine Learning Approaches for the Automatic Fitting of Gaussian Peaks
    Download  faculty.kfupm.edu.sa
    Fitting gaussian peaks to experimental data is important in many disciplines, including nuclear spectroscopy. Nonlinear least squares fitting methods have been in use for a long t...
    Radwan E. Abdel-Aal
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