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» Querying Bi-level Information
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VLDB
2007
ACM
89views Database» more  VLDB 2007»
16 years 1 months ago
GhostDB: Hiding Data from Prying Eyes
Imagine that you have been entrusted with private data, such as corporate product information, sensitive government information, or symptom and treatment information about hospita...
Christophe Salperwyck, Nicolas Anciaux, Mehdi Benz...
ICDE
2008
IEEE
152views Database» more  ICDE 2008»
16 years 8 months ago
Ontology-Aware Search on XML-based Electronic Medical Records
As the use of Electronic Medical Records (EMRs) becomes more widespread, so does the need for effective information discovery on them. Recently proposed EMR standards are XML-based...
Anand Ranganathan, Fernando Farfán, Redmond...
ICDE
2006
IEEE
112views Database» more  ICDE 2006»
16 years 8 months ago
XSEED: Accurate and Fast Cardinality Estimation for XPath Queries
We propose XSEED, a synopsis of path queries for cardinality estimation that is accurate, robust, efficient, and adaptive to memory budgets. XSEED starts from a very small kernel,...
Ashraf Aboulnaga, Ihab F. Ilyas, M. Tamer Özs...
ICDE
2001
IEEE
111views Database» more  ICDE 2001»
16 years 8 months ago
Overcoming Limitations of Sampling for Aggregation Queries
We study the problem of approximately answering aggregation queries using sampling. We observe that uniform sampling performs poorly when the distribution of the aggregated attrib...
Surajit Chaudhuri, Gautam Das, Mayur Datar, Rajeev...
WWW
2001
ACM
16 years 7 months ago
Clustering user queries of a search engine
In order to increase retrieval precision, some new search engines provide manually verified answers to Frequently Asked Queries (FAQs). An underlying task is the identification of...
Ji-Rong Wen, Jian-Yun Nie, HongJiang Zhang