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    KDD
    2007
    ACM
    192views Data Mining» more  KDD 2007»
    Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework
    15 years 26 days ago
    Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework
    Download  www.cs.sfu.ca
    Abstract. As more and more person-specific data like health information becomes available, increasing attention is paid to confidentiality and privacy protection. One proposed mode...
    Rhonda Chaytor
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    KDD
    2007
    ACM
    121views Data Mining» more  KDD 2007»
    Preserving the Privacy of Sensitive Relationships in Graph Data
    15 years 26 days ago
    Preserving the Privacy of Sensitive Relationships in Graph Data
    Download  www.utdallas.edu
    Abstract. In this paper, we focus on the problem of preserving the privacy of sensitive relationships in graph data. We refer to the problem of inferring sensitive relationships fr...
    Elena Zheleva, Lise Getoor
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    KDD
    2007
    ACM
    152views Data Mining» more  KDD 2007»
    Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers
    15 years 26 days ago
    Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers
    Download  web.mit.edu
    Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
    Vincent Yan Fu Tan, See-Kiong Ng
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    KDD
    2007
    ACM
    186views Data Mining» more  KDD 2007»
    An Ad Omnia Approach to Defining and Achieving Private Data Analysis
    15 years 26 days ago
    An Ad Omnia Approach to Defining and Achieving Private Data Analysis
    Download  www.cs.stevens.edu
    We briefly survey several privacy compromises in published datasets, some historical and some on paper. An inspection of these suggests that the problem lies with the nature of the...
    Cynthia Dwork
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    KDD
    2007
    ACM
    191views Data Mining» more  KDD 2007»
    Privacy-Preserving Data Mining through Knowledge Model Sharing
    15 years 26 days ago
    Privacy-Preserving Data Mining through Knowledge Model Sharing
    Download  www.cs.utsa.edu
    Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
    Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...
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    KDD
    2007
    ACM
    142views Data Mining» more  KDD 2007»
    Towards Privacy-Preserving Model Selection
    15 years 26 days ago
    Towards Privacy-Preserving Model Selection
    Download  www.cs.rutgers.edu
    Abstract. Model selection is an important problem in statistics, machine learning, and data mining. In this paper, we investigate the problem of enabling multiple parties to perfor...
    Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
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    KDD
    2007
    ACM
    168views Data Mining» more  KDD 2007»
    Applying collaborative filtering techniques to movie search for better ranking and browsing
    15 years 26 days ago
    Applying collaborative filtering techniques to movie search for better ranking and browsing
    Download  dpennock.com
    Seung-Taek Park, David M. Pennock
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    KDD
    2007
    ACM
    159views Data Mining» more  KDD 2007»
    Domain-constrained semi-supervised mining of tracking models in sensor networks
    15 years 26 days ago
    Domain-constrained semi-supervised mining of tracking models in sensor networks
    Download  www.cs.ust.hk
    Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
    Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeff...
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    KDD
    2007
    ACM
    177views Data Mining» more  KDD 2007»
    Mining optimal decision trees from itemset lattices
    15 years 26 days ago
    Mining optimal decision trees from itemset lattices
    Download  delivery.acm.org
    We present DL8, an exact algorithm for finding a decision tree that optimizes a ranking function under size, depth, accuracy and leaf constraints. Because the discovery of optimal...
    Élisa Fromont, Siegfried Nijssen
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    KDD
    2007
    ACM
    167views Data Mining» more  KDD 2007»
    Multiscale topic tomography
    15 years 26 days ago
    Multiscale topic tomography
    Download  www.cs.cmu.edu
    Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
    Ramesh Nallapati, Susan Ditmore, John D. Lafferty,...
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