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    Source-Aware Entity Matching: A Compositional Approach 

    Shen, Warren; DeRose, Pedro; Vu, Long; Doan, AnHai; Ramakrishnan, Raghu (University of Wisconsin-Madison Department of Computer Sciences, 2006)
    Entity matching (a.k.a. record linkage) plays a crucial role in integrating multiple data sources, and numerous matching solutions have been developed. However, the solutions have largely exploited only information available ...
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    Caching with "Good Enough" Currency, Consistency, and Completeness 

    Guo, Hongfei; Larson, Per-Ake; Ramakrishnan, Raghu (University of Wisconsin-Madison Department of Computer Sciences, 2004)
    SQL extensions that allow queries to explicitly specify data quality requirements in terms of currency and consistency were proposed in an earlier paper. This paper develops a data quality-aware, finer grained cache model ...
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    Histogram Guided Interactive Query Evaluation 

    Donjerkovic, Donko; Ramakrishnan, Raghu (University of Wisconsin-Madison Department of Computer Sciences, 2000)
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    The QUIQ Engine: A Hybrid IRDB System 

    Kabra, Navin; Ramakrishnan, Raghu; Ercegovac, Vuk (University of Wisconsin-Madison Department of Computer Sciences, 2003)
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    Multidimensional K-Anonymity 

    LeFevre, Kristen; DeWitt, David J.; Ramakrishnan, Raghu (University of Wisconsin-Madison Department of Computer Sciences, 2005)
    K-Anonymity has been proposed as a mechanism for privacy protection in microdata publishing, and numerous recoding ?models? have been considered for achieving kanonymity. This paper proposes a new multidimensional model, ...
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    On the Integration of Structure Indexes and Inverted Lists 

    Kaushik, Raghav; Krishnamurthy, Rajasekar; Naughton, Jeffrey; Ramakrishnan, Raghu (University of Wisconsin-Madison Department of Computer Sciences, 2003)
    We consider the problem of how to combine structure indexes and inverted lists to answer queries over a native XML DBMS, where the queries specify both path and keyword constraints. We augment the inverted list entries to ...
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    Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge 

    Chen, Bee-Chung; LeFevre, Kristen; Ramakrishnan, Raghu (University of Wisconsin-Madison Department of Computer Sciences, 2007)
    Privacy is an important issue in data publishing. Many organizations distribute non-aggregate personal data for research, and they must take steps to ensure that an adversary cannot predict sensitive information pertaining ...
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    Optimizing MPF Queries: Decision Support and Probabilistic Inference 

    Bravo, Hector Corrada; Ramakrishnan, Raghu (University of Wisconsin-Madison Department of Computer Sciences, 2006)
    We identify a broad class of aggregate queries, called MPF queries, inspired by the literature on marginalizing product functions. MPF queries operate on �functional relations,� where a measure attribute is functionally ...
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    OLAP over Imprecise Data With Domain Constraints 

    Burdick, Doug; Doan, AnHai; Ramakrishnan, Raghu; Vaithyanathan, Shivakumar (University of Wisconsin-Madison Department of Computer Sciences, 2007)
    Several recent works have focused on OLAP over imprecise data, where each fact can be a region, instead of a point, in a multi-dimensional space. They have provided a multiple-world semantics for such data, and ...
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    SLIC: On-The-Fly Extraction and Querying of Web Data 

    McCann, Robert; DeRose, Pedro; Doan, AnHai; Ramakrishnan, Raghu (University of Wisconsin-Madison Department of Computer Sciences, 2006)
    Increasingly, Web data is displayed in pages generated according to a template (e.g., product listings at amazon.com, faculty directories, class schedules). This trend makes structured querying of such Web data a valuable ...

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    Ramakrishnan, Raghu (10)
    Doan, AnHai (3)DeRose, Pedro (2)LeFevre, Kristen (2)Bravo, Hector Corrada (1)Burdick, Doug (1)Chen, Bee-Chung (1)DeWitt, David J. (1)Donjerkovic, Donko (1)Ercegovac, Vuk (1)... View MoreDate Issued2006 (3)2003 (2)2007 (2)2000 (1)2004 (1)2005 (1)Has File(s)Yes (10)

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