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KDD
1995
ACM
129views Data Mining» more  KDD 1995»
15 years 1 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
BMCBI
2008
208views more  BMCBI 2008»
14 years 10 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
SIGMOD
2009
ACM
202views Database» more  SIGMOD 2009»
15 years 10 months ago
A comparison of flexible schemas for software as a service
A multi-tenant database system for Software as a Service (SaaS) should offer schemas that are flexible in that they can be extended for different versions of the application and d...
Stefan Aulbach, Dean Jacobs, Alfons Kemper, Michae...
CSCWD
2006
Springer
15 years 1 months ago
Collaborative Multidisciplinary Design in Virtual Environments
The application designers can usually define their own "virtual environments" by selecting the appropriate computing resources required, or reuse and compose existing en...
Toan Nguyen, Vittorio Selmin
EUROSYS
2011
ACM
14 years 1 months ago
DepSky: dependable and secure storage in a cloud-of-clouds
The increasing popularity of cloud storage services has lead companies that handle critical data to think about using these services for their storage needs. Medical record databa...
Alysson Neves Bessani, Miguel P. Correia, Bruno Qu...