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    SDM
    2007
    SIAM
    106views Data Mining» more  SDM 2007»
    Performance of Recommendation Systems in Dynamic Streaming Environments
    14 years 28 days ago
    Performance of Recommendation Systems in Dynamic Streaming Environments
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    In this paper, we study the behavior of collaborative filtering based recommendations under evolving user profile scenarios. We propose a systematic validation methodology that ...
    Olfa Nasraoui, Jeff Cerwinske, Carlos Rojas, Fabio...
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    SDM
    2007
    SIAM
    117views Data Mining» more  SDM 2007»
    Summarizing Review Scores of "Unequal" Reviewers
    14 years 28 days ago
    Summarizing Review Scores of "Unequal" Reviewers
    Download  www.cs.sfu.ca
    A frequently encountered problem in decision making is the following review problem: review a large number of objects and select a small number of the best ones. An example is sel...
    Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
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    SDM
    2007
    SIAM
    137views Data Mining» more  SDM 2007»
    Semi-supervised Feature Selection via Spectral Analysis
    14 years 28 days 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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    SDM
    2007
    SIAM
    108views Data Mining» more  SDM 2007»
    Semi-Supervised Dimensionality Reduction
    14 years 28 days ago
    Semi-Supervised Dimensionality Reduction
    Download  cs.nju.edu.cn
    Dimensionality reduction is among the keys in mining highdimensional data. This paper studies semi-supervised dimensionality reduction. In this setting, besides abundant unlabeled...
    Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
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    SDM
    2007
    SIAM
    107views Data Mining» more  SDM 2007»
    On Demand Phenotype Ranking through Subspace Clustering
    14 years 28 days ago
    On Demand Phenotype Ranking through Subspace Clustering
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    High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
    Xiang Zhang, Wei Wang 0010, Jun Huan
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    SDM
    2007
    SIAM
    74views Data Mining» more  SDM 2007»
    HACS: Heuristic Algorithm for Clustering Subsets
    14 years 28 days ago
    HACS: Heuristic Algorithm for Clustering Subsets
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    The term consideration set is used in marketing to refer to the set of items a customer thought about purchasing before making a choice. While consideration sets are not directly ...
    Ding Yuan, W. Nick Street
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    SDM
    2007
    SIAM
    201views Data Mining» more  SDM 2007»
    Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces
    14 years 28 days ago
    Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces
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    Object recognition and content-based image retrieval systems rely heavily on the accurate and efficient identification of shapes. A fundamental requirement in the shape analysis ...
    Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng...
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    SDM
    2007
    SIAM
    114views Data Mining» more  SDM 2007»
    Harmonium Models for Semantic Video Representation and Classification
    14 years 28 days ago
    Harmonium Models for Semantic Video Representation and Classification
    Download  www.cs.cmu.edu
    Jun Yang 0003, Yan Liu 0002, Eric P. Xing, Alexand...
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    SDM
    2007
    SIAM
    145views Data Mining» more  SDM 2007»
    Finding Motifs in a Database of Shapes
    14 years 28 days ago
    Finding Motifs in a Database of Shapes
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    The problem of efficiently finding images that are similar to a target image has attracted much attention in the image processing community and is rightly considered an informatio...
    Xiaopeng Xi, Eamonn J. Keogh, Li Wei, Agenor Mafra...
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    SDM
    2007
    SIAM
    117views Data Mining» more  SDM 2007»
    Discriminating Subsequence Discovery for Sequence Clustering
    14 years 28 days ago
    Discriminating Subsequence Discovery for Sequence Clustering
    Download  glaros.dtc.umn.edu
    In this paper, we explore the discriminating subsequencebased clustering problem. First, several effective optimization techniques are proposed to accelerate the sequence mining p...
    Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Ka...
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