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» Leveraging COUNT Information in Sampling Hidden Databases
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ICDE
2009
IEEE
170views Database» more  ICDE 2009»
14 years 6 months ago
Leveraging COUNT Information in Sampling Hidden Databases
A large number of online databases are hidden behind form-like interfaces which allow users to execute search queries by specifying selection conditions in the interface. Most of t...
Arjun Dasgupta, Nan Zhang, Gautam Das
DKE
2006
122views more  DKE 2006»
13 years 5 months ago
Sampling, information extraction and summarisation of Hidden Web databases
Hidden Web databases maintain a collection of specialised documents, which are dynamically generated in response to users' queries. The majority of these documents are genera...
Yih-Ling Hedley, Muhammad Younas, Anne E. James, M...
EDBT
2010
ACM
132views Database» more  EDBT 2010»
13 years 8 months ago
Turbo-charging hidden database samplers with overflowing queries and skew reduction
Recently, there has been growing interest in random sampling from online hidden databases. These databases reside behind form-like web interfaces which allow users to execute sear...
Arjun Dasgupta, Nan Zhang 0004, Gautam Das
SIGMOD
2007
ACM
112views Database» more  SIGMOD 2007»
14 years 5 months ago
A random walk approach to sampling hidden databases
A large part of the data on the World Wide Web is hidden behind form-like interfaces. These interfaces interact with a hidden backend database to provide answers to user queries. ...
Arjun Dasgupta, Gautam Das, Heikki Mannila
SIGMOD
2009
ACM
167views Database» more  SIGMOD 2009»
14 years 5 months ago
HDSampler: revealing data behind web form interfaces
A large number of online databases are hidden behind the web. Users to these systems can form queries through web forms to retrieve a small sample of the database. Sampling such h...
Anirban Maiti, Arjun Dasgupta, Nan Zhang, Gautam D...