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    SDM
    2007
    SIAM
    139views Data Mining» more  SDM 2007»
    Dynamic Algorithm for Graph Clustering Using Minimum Cut Tree
    13 years 10 months ago
    Dynamic Algorithm for Graph Clustering Using Minimum Cut Tree
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    We present an efficient dynamic algorithm for clustering undirected graphs, whose edge property is changing continuously. The algorithm maintains clusters of high quality in pres...
    Barna Saha, Pabitra Mitra
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    SDM
    2007
    SIAM
    147views Data Mining» more  SDM 2007»
    Constraint-Based Pattern Set Mining
    13 years 10 months ago
    Constraint-Based Pattern Set Mining
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    Local pattern mining algorithms generate sets of patterns, which are typically not directly useful and have to be further processed before actual application or interpretation. Ra...
    Luc De Raedt, Albrecht Zimmermann
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    SDM
    2007
    SIAM
    126views Data Mining» more  SDM 2007»
    Nonlinear Dimensionality Reduction using Approximate Nearest Neighbors
    13 years 10 months ago
    Nonlinear Dimensionality Reduction using Approximate Nearest Neighbors
    Download  www.kavrakilab.org
    Nonlinear dimensionality reduction methods often rely on the nearest-neighbors graph to extract low-dimensional embeddings that reliably capture the underlying structure of high-d...
    Erion Plaku, Lydia E. Kavraki
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    SDM
    2007
    SIAM
    86views Data Mining» more  SDM 2007»
    Identifying Bundles of Product Options using Mutual Information Clustering
    13 years 10 months 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
    13 years 10 months ago
    Bandits for Taxonomies: A Model-based Approach
    Download  www.cs.cmu.edu
    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
    13 years 10 months 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
    13 years 10 months ago
    Clustering by weighted cuts in directed graphs
    Download  www.stat.washington.edu
    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
    13 years 10 months ago
    PoClustering: Lossless Clustering of Dissimilarity Data
    Download  siam.org
    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
    13 years 10 months 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
    13 years 10 months ago
    Patterns of Cascading Behavior in Large Blog Graphs
    Download  siam.org
    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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