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    PKDD
    2004
    Springer
    324views Data Mining» more  PKDD 2004»
    Orange: From Experimental Machine Learning to Interactive Data Mining
    14 years 1 months ago
    Orange: From Experimental Machine Learning to Interactive Data Mining
    Download  www.ailab.si
    Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
    Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk
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    SDM
    2007
    SIAM
    121views Data Mining» more  SDM 2007»
    Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
    13 years 9 months ago
    Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
    Download  siam.org
    We propose an unsupervised approach to learn associations between continuous-valued attributes from different modalities. These associations are used to construct a multi-modal t...
    Hichem Frigui, Joshua Caudill
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    SDM
    2007
    SIAM
    137views Data Mining» more  SDM 2007»
    Semi-supervised Feature Selection via Spectral Analysis
    13 years 9 months ago
    Semi-supervised Feature Selection via Spectral Analysis
    Download  www.public.asu.edu
    Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
    Zheng Zhao, Huan Liu
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    ICONIP
    2007
    138views Information Technology» more  ICONIP 2007»
    Using Image Stimuli to Drive fMRI Analysis
    13 years 9 months ago
    Using Image Stimuli to Drive fMRI Analysis
    Download  eprints.pascal-network.org
    We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
    David R. Hardoon, Janaina Mourão Miranda, M...
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    SDM
    2007
    SIAM
    176views Data Mining» more  SDM 2007»
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
    13 years 9 months ago
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
    Download  siam.org
    We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
    Hichem Frigui, Cheul Hwang
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