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    SDM
    2007
    SIAM
    86views Data Mining» more  SDM 2007»
    Identifying Bundles of Product Options using Mutual Information Clustering
    14 years 29 days ago
    Identifying Bundles of Product Options using Mutual Information Clustering
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    Mass-produced goods tend to be highly standardized in order to maximize manufacturing efficiencies. Some high-value goods with limited production quantities remain much less stand...
    Claudia Perlich, Saharon Rosset
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    SDM
    2007
    SIAM
    167views Data Mining» more  SDM 2007»
    Bandits for Taxonomies: A Model-based Approach
    14 years 29 days ago
    Bandits for Taxonomies: A Model-based Approach
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    We consider a novel problem of learning an optimal matching, in an online fashion, between two feature spaces that are organized as taxonomies. We formulate this as a multi-armed ...
    Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabar...
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    SDM
    2007
    SIAM
    122views Data Mining» more  SDM 2007»
    Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
    14 years 29 days ago
    Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
    Download  www.nec-labs.com
    In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
    Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
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    SDM
    2007
    SIAM
    143views Data Mining» more  SDM 2007»
    Clustering by weighted cuts in directed graphs
    14 years 29 days ago
    Clustering by weighted cuts in directed graphs
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    In this paper we formulate spectral clustering in directed graphs as an optimization problem, the objective being a weighted cut in the directed graph. This objective extends seve...
    Marina Meila, William Pentney
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    SDM
    2007
    SIAM
    112views Data Mining» more  SDM 2007»
    PoClustering: Lossless Clustering of Dissimilarity Data
    14 years 29 days ago
    PoClustering: Lossless Clustering of Dissimilarity Data
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    Given a set of objects V with a dissimilarity measure between pairs of objects in V , a PoCluster is a collection of sets P ⊂ powerset(V ) partially ordered by the ⊂ relation ...
    Jinze Liu, Qi Zhang, Wei Wang 0010, Leonard McMill...
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    SDM
    2007
    SIAM
    146views Data Mining» more  SDM 2007»
    ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
    14 years 29 days ago
    ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
    Download  www.cs.uiuc.edu
    With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
    Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
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    SDM
    2007
    SIAM
    143views Data Mining» more  SDM 2007»
    Patterns of Cascading Behavior in Large Blog Graphs
    14 years 29 days ago
    Patterns of Cascading Behavior in Large Blog Graphs
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    How do blogs cite and influence each other? How do such links evolve? Does the popularity of old blog posts drop exponentially with time? These are some of the questions that we ...
    Jure Leskovec, Mary McGlohon, Christos Faloutsos, ...
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    SDM
    2007
    SIAM
    171views Data Mining» more  SDM 2007»
    A Better Alternative to Piecewise Linear Time Series Segmentation
    14 years 29 days ago
    A Better Alternative to Piecewise Linear Time Series Segmentation
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    Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
    Daniel Lemire
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    SDM
    2007
    SIAM
    138views Data Mining» more  SDM 2007»
    Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem
    14 years 29 days ago
    Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem
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    Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
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    SDM
    2007
    SIAM
    182views Data Mining» more  SDM 2007»
    Distance Preserving Dimension Reduction for Manifold Learning
    14 years 29 days ago
    Distance Preserving Dimension Reduction for Manifold Learning
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    Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
    Hyunsoo Kim, Haesun Park, Hongyuan Zha
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