Search Results - "Crainiceanu, Adina"

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  1. 1

    Bloofi: Multidimensional Bloom filters by Crainiceanu, Adina, Lemire, Daniel

    Published in Information systems (Oxford) (01-12-2015)
    “…Bloom filters are probabilistic data structures commonly used for approximate membership problems in many areas of Computer Science (networking, distributed…”
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    Journal Article
  2. 2

    Cluster-Based Joins for Federated SPARQL Queries by Yang, Fan, Crainiceanu, Adina, Chen, Zhiyuan, Needham, Don

    “…Federated RDF systems allow users to retrieve data from multiple independent sources without needing to have all the data in the same triple store. The…”
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    Journal Article
  3. 3

    The upstrap by Crainiceanu, Ciprian M, Crainiceanu, Adina

    Published in Biostatistics (Oxford, England) (01-04-2020)
    “…The bootstrap, introduced in Efron (1979. Bootstrap methods: another look at the jackknife. The Annals of Statistics7, 1-26), is a landmark method for…”
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    Journal Article
  4. 4

    SPARQL in the cloud using Rya by Punnoose, Roshan, Crainiceanu, Adina, Rapp, David

    Published in Information systems (Oxford) (01-03-2015)
    “…SPARQL is the standard query language for Resource Description Framework (RDF) data. RDF was designed with the initial goal of developing metadata for the…”
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    Journal Article
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  7. 7

    Bloofi: Multidimensional Bloom Filters by Crainiceanu, Adina, Lemire, Daniel

    Published 21-09-2016
    “…Information Systems Volume 54, December 2015, Pages 311-324 Bloom filters are probabilistic data structures commonly used for approximate membership problems…”
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    Journal Article
  8. 8

    MATS: A Multi-aspect and Adaptive Trust-based Situation-aware Access Control Framework for Federated Data-as-a-Service Systems by Kim, Dae-Young, Alodadi, Nujood, Chen, Zhiyuan, Joshi, Karuna P., Crainiceanu, Adina, Needham, Don

    “…Federated Data-as-a-Service systems are helpful in applications that require dynamic coordination of multiple organizations, such as maritime search and…”
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    Conference Proceeding
  9. 9

    Efficient and Privacy-Preserving Collaborative Intrusion Detection Using Additive Secret Sharing and Differential Privacy by Mokry, Laylon, Slife, Paul, Bishop, Patrick, Quiroz, Jose, Guzzi, Cooper, Chen, Zhiyuan, Crainiceanu, Adina, Needham, Don

    “…Intrusion Detection Systems are commonly used by organizations to monitor network traffic and detect attacks or suspicious behaviours. However, many attacks…”
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    Conference Proceeding
  10. 10

    Situation-Aware Access Control in Federated Data-as-a-Service for Maritime Search and Rescue by Oni, Samson, Chen, Zhiyuan, Crainiceanu, Adina, Joshi, Karuna, Needham, Don

    “…Maritime Search and Rescue missions involve complex operations in which multiple entities, playing different roles in dynamic situations, benefit from sharing…”
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    Conference Proceeding
  11. 11

    A Semantic Framework for Secure and Efficient Contact Tracing of Infectious Diseases by Schubel, Payton, Chen, Zhiyuan, Crainiceanu, Adina, Joshi, Karuna P, Needham, Don

    “…Contact tracing is the process of identifying people who came into contact with an infected person ("case") and collecting information about these contacts…”
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    Conference Proceeding
  12. 12

    Cluster-Based Join for Geographically Distributed Big RDF Data by Yang, Fan, Crainiceanu, Adina, Chen, Zhiyuan, Needham, Don

    “…Federated RDF systems allow users to retrieve data from multiple independent sources without needing to have all the data in the same triple store. The…”
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    Conference Proceeding
  13. 13

    A Framework for Situation-Aware Access Control in Federated Data-as-a-Service Systems Based on Query Rewriting by Oni, Samson, Chen, Zhiyuan, Crainiceanu, Adina, Joshi, Karuna P, Needham, Don

    “…Organizations often need to share mission-dependent data in a secure and flexible way. Examples include contact tracing for a contagious disease such as…”
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    Conference Proceeding
  14. 14

    RDFINT: A Benchmark for Comparing Data Warehouse with Virtual Integration Approaches for Integration of RDF Data by Oni, Samson, Pansare, Kajal, Arneja, Sukrit Singh, Chen, Zhiyuan, Crainiceanu, Adina, Needham, Don

    “…Users often need to integrate large amounts of RDF data from multiple sources. Although there has been a lot of work on data cleaning and integration for…”
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    Conference Proceeding
  15. 15

    Answering complex queries in peer -to -peer systems by Crainiceanu, Adina Nicoleta

    Published 01-01-2006
    “…Peer-to-peer (P2P) systems provide a robust, scalable and decentralized way to share and publish data. However, most existing P2P systems only support equality…”
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    Dissertation
  16. 16

    Bootstrap Bayesian analysis with applications to gene-environment interaction by Crainiceanu, A., Kung-Yee Liang, Crainiceanu, C.M.

    “…We propose a novel statistical model and inferential algorithm for gene environment interaction. Our methodology was motivated by and applied to identity by…”
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    Conference Proceeding