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CoBase on the Web | cobase.cs.ucla.edu Reviews

https://cobase.cs.ucla.edu

Homepage for CoBase Research Group at UCLA

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cobase.cs.ucla.edu cobase.cs.ucla.edu
1

CoBase on the Web

http://cobase.cs.ucla.edu/index.html

Welcome to the CoBase research group. The following is a brief overview of the various projects. Cooperative database systems ( CoBase. Under the support of the ARPA, and the direction of Professor Wesley Chu. And noisy emitter identification with Lockheed/Martin Marietta. Knowledge-based relaxation techniques have been extended to the XML data model ( CoXML. The knowledge-based approach has also been extended to free text in selecting scenario specific relevant query expansion terms to improve retrieval...

2

CoBase on the Web

http://cobase.cs.ucla.edu/projects/isp

An Inference-based Approach to Data Access Violation Detection and Privacy Protection. Project funded by NSF Grant # 0313283. Knowledge-based Inference Techniques to Ensure the Security of Database Content. For multi-user, the users may collaborate with their query answers to increase the probability of inference sensitive information. We can construct a task-sensitive social network based on the users' profiles and questionnaire data [ 4. We have developed a detection system that prevents single users f...

3

CoBase on the Web

http://cobase.cs.ucla.edu/projects.html

Research members: Jianming He, Wesley W. Chu (Project Leader), Fred Sabb, Ying Wang, Chen Liu, and Stott Parker. Social Network-Based Recommender System. A Social Network-Based Recommender System. Research members: Jianming He. Information Security and Privacy. An Inference-based Approach to Data Access Violation Detection and Privacy Protection. Research members: Zhenyu Liu, Yu Chen, Jianming He. Research members: Shaorong Liu. Ruzan Shahinian, Eric Sung, Chirstian Cardenas. Research members: Zhenyu Liu.

4

CoBase on the Web

http://cobase.cs.ucla.edu/projects/kmex

KMeX: A Knowledge-Based Approach for Scenario-Specific Medical Free Text Retrieval. Project funded in part by NIC/NIH Grant # 4442511-33780. Knowledge-based Inference Techniques to Ensure the Security of Database Content. Knowledge-Based Query Expansion. A query may be appended with additional terms so that the expanded query has a higher probability of matching the terms in relevant documents. Traditional expansion techniques append statistically related terms that may not be scenario-specific&#...Let u...

5

CoBase on the Web

http://cobase.cs.ucla.edu/projects/coxml

Query Relaxation for XML Database. Project funded NSF Award # 0219442. 11 Project Introduction and Motivation. In the XML domain, because of the flexible nature of the XML model allows varied structures and/or values and the non-rigid XML tag syntax enables to embed a wealth of meta information in XML documents, the need for such query relaxation increases. The following points illustrates that query relaxation is more important for the XML model than the relational model:. 12 Summary of Approaches.

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CoBase on the Web

Welcome to the CoBase research group. The following is a brief overview of the various projects. Cooperative database systems ( CoBase. Under the support of the ARPA, and the direction of Professor Wesley Chu. And noisy emitter identification with Lockheed/Martin Marietta. Knowledge-based relaxation techniques have been extended to the XML data model ( CoXML. The knowledge-based approach has also been extended to free text in selecting scenario specific relevant query expansion terms to improve retrieval...

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Companies that hold accounts with different banks face many inefficiencies. They have to use different bank portals to interact with their banks and other financial service providers, and often multiple ERP connections have to be maintained. The more different banks and accounts a company has, the more complex it gets. Cobase offers a solution! Our multibank platform is a single point of access to all bank accounts and other financial products and services from many banks and financial service providers.

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CoBase on the Web

Welcome to the CoBase research group. The following is a brief overview of the various projects. Cooperative database systems ( CoBase. Under the support of the ARPA, and the direction of Professor Wesley Chu. And noisy emitter identification with Lockheed/Martin Marietta. Knowledge-based relaxation techniques have been extended to the XML data model ( CoXML. The knowledge-based approach has also been extended to free text in selecting scenario specific relevant query expansion terms to improve retrieval...

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