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SIGMOD
2009
ACM
143views Database» more  SIGMOD 2009»
16 years 6 months ago
Data integration in mashups
Mashup is a new application development approach that allows users to aggregate multiple services to create a service for a new purpose. Even if the Mashup approach opens new and ...
Giusy Di Lorenzo, Hakim Hacid, Hye-Young Paik, Bou...
ICSOC
2009
Springer
15 years 11 months ago
End-to-End Security for Enterprise Mashups
Abstract. Mashups are gaining momentum as a means to develop situational Web applications by combining different resources (services, data feeds) and user interfaces. In enterpris...
Florian Rosenberg, Rania Khalaf, Matthew J. Duftle...
CIKM
2006
Springer
15 years 10 months ago
k nearest neighbor classification across multiple private databases
Distributed privacy preserving data mining tools are critical for mining multiple databases with a minimum information disclosure. We present a framework including a general model...
Li Xiong, Subramanyam Chitti, Ling Liu
ICWS
2010
IEEE
15 years 5 months ago
Enhancing Scalability and Performance of Mashups Through Merging and Operator Reordering
Abstract—Recently, mashups are gaining tremendous popularity as an important Web 2.0 application. Mashups provide end-users with an opportunity to create personalized Web service...
Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. ...
ICDE
2010
IEEE
248views Database» more  ICDE 2010»
15 years 11 months ago
MashRank: Towards uncertainty-aware and rank-aware mashups
Mashups are situational applications that build data flows to link the contents of multiple Web sources. Often times, ranking the results of a mashup is handled in a materializethe...
Mohamed A. Soliman, Mina Saleeb, Ihab F. Ilyas