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    KDD
    2007
    ACM
    144views Data Mining» more  KDD 2007»
    Fast direction-aware proximity for graph mining
    14 years 5 months ago
    Fast direction-aware proximity for graph mining
    Download  www.db.cs.cmu.edu
    In this paper we study asymmetric proximity measures on directed graphs, which quantify the relationships between two nodes or two groups of nodes. The measures are useful in seve...
    Hanghang Tong, Christos Faloutsos, Yehuda Koren
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    KDD
    2007
    ACM
    155views Data Mining» more  KDD 2007»
    A framework for community identification in dynamic social networks
    14 years 5 months ago
    A framework for community identification in dynamic social networks
    Download  www.cs.uic.edu
    We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as "unusually densely kni...
    Chayant Tantipathananandh, Tanya Y. Berger-Wolf, D...
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    KDD
    2007
    ACM
    149views Data Mining» more  KDD 2007»
    Partial example acquisition in cost-sensitive learning
    14 years 5 months ago
    Partial example acquisition in cost-sensitive learning
    Download  pages.stern.nyu.edu
    It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...
    Victor S. Sheng, Charles X. Ling
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    KDD
    2007
    ACM
    170views Data Mining» more  KDD 2007»
    From frequent itemsets to semantically meaningful visual patterns
    14 years 5 months ago
    From frequent itemsets to semantically meaningful visual patterns
    Download  www.eecs.northwestern.edu
    Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
    Junsong Yuan, Ying Wu, Ming Yang
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    KDD
    2007
    ACM
    220views Data Mining» more  KDD 2007»
    SCAN: a structural clustering algorithm for networks
    14 years 5 months ago
    SCAN: a structural clustering algorithm for networks
    Download  ifsc.ualr.edu
    Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
    Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
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    KDD
    2007
    ACM
    153views Data Mining» more  KDD 2007»
    Exploiting duality in summarization with deterministic guarantees
    14 years 5 months ago
    Exploiting duality in summarization with deterministic guarantees
    Download  i.cs.hku.hk
    Summarization is an important task in data mining. A major challenge over the past years has been the efficient construction of fixed-space synopses that provide a deterministic q...
    Panagiotis Karras, Dimitris Sacharidis, Nikos Mamo...
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    KDD
    2007
    ACM
    249views Data Mining» more  KDD 2007»
    The minimum consistent subset cover problem and its applications in data mining
    14 years 5 months ago
    The minimum consistent subset cover problem and its applications in data mining
    Download  www.cs.sfu.ca
    In this paper, we introduce and study the Minimum Consistent Subset Cover (MCSC) problem. Given a finite ground set X and a constraint t, find the minimum number of consistent sub...
    Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Sch...
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    KDD
    2007
    ACM
    138views Data Mining» more  KDD 2007»
    Enhancing semi-supervised clustering: a feature projection perspective
    14 years 5 months ago
    Enhancing semi-supervised clustering: a feature projection perspective
    Download  velblod.videolectures.net
    Wei Tang, Hui Xiong, Shi Zhong, Jie Wu
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    KDD
    2007
    ACM
    136views Data Mining» more  KDD 2007»
    Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases
    14 years 5 months ago
    Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases
    Download  www.benyah.net
    We now have incrementally-grown databases of text documents ranging back for over a decade in areas ranging from personal email, to news-articles and conference proceedings. While...
    Benyah Shaparenko, Thorsten Joachims
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    KDD
    2007
    ACM
    112views Data Mining» more  KDD 2007»
    Statistical change detection for multi-dimensional data
    14 years 5 months ago
    Statistical change detection for multi-dimensional data
    Download  www.cise.ufl.edu
    This paper deals with detecting change of distribution in multi-dimensional data sets. For a given baseline data set and a set of newly observed data points, we define a statistic...
    Xiuyao Song, Mingxi Wu, Christopher M. Jermaine, S...
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