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    SDM
    2008
    SIAM
    168views Data Mining» more  SDM 2008»
    Semi-Supervised Clustering via Matrix Factorization
    13 years 6 months ago
    Semi-Supervised Clustering via Matrix Factorization
    Download  users.cis.fiu.edu
    The recent years have witnessed a surge of interests of semi-supervised clustering methods, which aim to cluster the data set under the guidance of some supervisory information. U...
    Fei Wang, Tao Li, Changshui Zhang
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    SDM
    2008
    SIAM
    105views Data Mining» more  SDM 2008»
    Gaussian Process Learning for Cyber-Attack Early Warning
    13 years 6 months ago
    Gaussian Process Learning for Cyber-Attack Early Warning
    Download  csc.lsu.edu
    Network security has been a serious concern for many years. For example, firewalls often record thousands of exploit attempts on a daily basis. Network administrators could benefi...
    Jian Zhang 0004, Phillip A. Porras, Johannes Ullri...
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    SDM
    2008
    SIAM
    114views Data Mining» more  SDM 2008»
    Semi-Supervised Classification with Universum
    13 years 6 months ago
    Semi-Supervised Classification with Universum
    Download  siam.org
    The Universum data, defined as a collection of "nonexamples" that do not belong to any class of interest, have been shown to encode some prior knowledge by representing ...
    Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhan...
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    SDM
    2008
    SIAM
    122views Data Mining» more  SDM 2008»
    Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing
    13 years 6 months ago
    Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing
    Download  www.weifan.info
    Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
    Jiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu
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    SDM
    2008
    SIAM
    95views Data Mining» more  SDM 2008»
    Deterministic Latent Variable Models and Their Pitfalls
    13 years 6 months ago
    Deterministic Latent Variable Models and Their Pitfalls
    Download  www.ics.uci.edu
    We derive a number of well known deterministic latent variable models such as PCA, ICA, EPCA, NMF and PLSA as variational EM approximations with point posteriors. We show that the...
    Max Welling, Chaitanya Chemudugunta, Nathan Sutter
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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    13 years 6 months ago
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    Download  www.cs.berkeley.edu
    In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
    Yitao Duan, John F. Canny
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    SDM
    2008
    SIAM
    113views Data Mining» more  SDM 2008»
    Randomization of real-valued matrices for assessing the significance of data mining results
    13 years 6 months ago
    Randomization of real-valued matrices for assessing the significance of data mining results
    Download  www.cis.hut.fi
    Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Ha...
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    SDM
    2008
    SIAM
    124views Data Mining» more  SDM 2008»
    Mining Association Rules of Simple Conjunctive Queries
    13 years 6 months ago
    Mining Association Rules of Simple Conjunctive Queries
    Download  www.win.tue.nl
    Bart Goethals, Wim Le Page, Heikki Mannila
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    SDM
    2008
    SIAM
    136views Data Mining» more  SDM 2008»
    Exploration and Reduction of the Feature Space by Hierarchical Clustering
    13 years 6 months ago
    Exploration and Reduction of the Feature Space by Hierarchical Clustering
    Download  www.di.unito.it
    In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
    Dino Ienco, Rosa Meo
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    SDM
    2008
    SIAM
    121views Data Mining» more  SDM 2008»
    Integration of Multiple Networks for Robust Label Propagation
    13 years 6 months ago
    Integration of Multiple Networks for Robust Label Propagation
    Download  sugiyama-www.cs.titech.ac.jp
    Transductive inference on graphs such as label propagation algorithms is receiving a lot of attention. In this paper, we address a label propagation problem on multiple networks a...
    Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama
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