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    SDM
    2007
    SIAM
    104views Data Mining» more  SDM 2007»
    Fast Multilevel Transduction on Graphs
    13 years 6 months ago
    Fast Multilevel Transduction on Graphs
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    The recent years have witnessed a surge of interest in graphbased semi-supervised learning methods. The common denominator of these methods is that the data are represented by the...
    Fei Wang, Changshui Zhang
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    SDM
    2007
    SIAM
    184views Data Mining» more  SDM 2007»
    Mining Naturally Smooth Evolution of Clusters from Dynamic Data
    13 years 6 months ago
    Mining Naturally Smooth Evolution of Clusters from Dynamic Data
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    Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
    Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
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    SDM
    2007
    SIAM
    111views Data Mining» more  SDM 2007»
    Fast Counting with AV-Space for Efficient Rule Induction
    13 years 6 months ago
    Fast Counting with AV-Space for Efficient Rule Induction
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    Linyan Wang, Aijun An
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    SDM
    2007
    SIAM
    85views Data Mining» more  SDM 2007»
    Kernel Based Detection of Mislabeled Training Examples
    13 years 6 months ago
    Kernel Based Detection of Mislabeled Training Examples
    Download  www.cse.msu.edu
    The problem of identifying mislabeled training examples has been examined in several studies, with a variety of approaches developed for editing the training data to obtain better...
    Hamed Valizadegan, Pang-Ning Tan
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    SDM
    2007
    SIAM
    143views Data Mining» more  SDM 2007»
    Less is More: Compact Matrix Decomposition for Large Sparse Graphs
    13 years 6 months ago
    Less is More: Compact Matrix Decomposition for Large Sparse Graphs
    Download  www.cs.cmu.edu
    Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
    Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
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    SDM
    2007
    SIAM
    96views Data Mining» more  SDM 2007»
    Higher Order Orthogonal Iteration of Tensors (HOOI) and its Relation to PCA and GLRAM
    13 years 6 months ago
    Higher Order Orthogonal Iteration of Tensors (HOOI) and its Relation to PCA and GLRAM
    Download  siam.org
    This paper presents a unified view of a number of dimension reduction techniques under the common framework of tensors. Specifically, it is established that PCA, and the recentl...
    Bernard N. Sheehan, Yousef Saad
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    SDM
    2007
    SIAM
    169views Data Mining» more  SDM 2007»
    Rank Aggregation for Similar Items
    13 years 6 months ago
    Rank Aggregation for Similar Items
    Download  www.eecs.tufts.edu
    The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
    D. Sculley
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    SDM
    2007
    SIAM
    139views Data Mining» more  SDM 2007»
    Dynamic Algorithm for Graph Clustering Using Minimum Cut Tree
    13 years 6 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 6 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 6 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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